Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix for all scenarios for each case study

Who hit whom matrix of each case study (by baseline + scenarios)

Antofagasta

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Arica

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Belo Horizonte

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bogota

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Buenos Aires

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cali

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Copiapo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Coquimbo Laserena

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Gran Valparaiso

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Iquique Altohospicio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Medellin

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Mexico City

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Montevideo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Osorno

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Puerto Montt

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

San Antonio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Santiago

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Sao Paulo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Temuco Padrelascasas

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Valdivia

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Accra

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bangalore

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cape Town

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Delhi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Vizag

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Kisumu

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Nairobi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Port Louis

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Who hit whom matrix for all case cities

Baseline_predicted scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Bicycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Car scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Public Transport scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Motorcycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Baseline scenario

Casualty mode: Pedestrian

Casualty mode: Car

Casualty mode: Motorcycle

Casualty mode: Truck

Casualty mode: Cycle

Casualty mode: Bus

Casualty mode: Other

Casualty mode: Rail

Casualty mode: Auto_rickshaw

Change in deaths due to injury per billion km

[1] NA

antofagasta mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.9845 1.3744898 2.9983 1.333963 3.0752 1.2398147 2.8821 1.5781475 3.0575 1.2910280
car 17.4095 9.6214286 17.5572 9.388470 16.1581 10.2214195 18.3526 8.5801892 17.8521 9.0711287
cycle 95.3573 0.2290816 0.0809 0.003735 99.7424 0.2208829 87.7297 0.1905355 90.3700 0.2109284
motorcycle 157.4219 2.2908163 160.8643 2.164581 162.3855 2.1968500 157.8575 2.1821991 78.6910 8.5163475
pedestrian 91.7471 4.1234694 92.9823 3.909975 98.6613 4.2164530 81.5278 3.9029482 88.6004 3.8480993
truck 11.0045 2.2908163 10.9845 2.286656 11.0431 2.2988720 10.9350 2.2763516 10.9587 2.2812950
active_travel 91.9303 4.3525510 44.3763 3.913710 98.7145 4.4373359 81.7970 4.0934838 88.6906 4.0590277

[1] “ub”

antofagasta ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 9.8764 4.548449 9.9299 4.417903 10.1796 4.104054 9.5362 5.221698 10.1131 4.270219
car 41.1989 22.768649 41.5080 22.195805 38.3090 24.233849 43.4463 20.312040 42.1695 21.427465
cycle 739.2653 1.775974 0.6277 0.028965 770.0821 1.705372 685.1480 1.488037 701.0409 1.636267
motorcycle 503.1160 7.321384 514.3410 6.920944 517.3327 6.998792 505.8975 6.993452 262.0433 28.359676
pedestrian 171.2981 7.698800 173.7682 7.307078 181.9891 7.777607 155.5065 7.444499 165.7271 7.197874
truck 38.1831 7.948643 38.0301 7.916794 38.4522 8.004657 37.6930 7.846623 37.8320 7.875554
active_travel 200.1168 9.474774 83.1809 7.336043 210.9617 9.482979 178.4921 8.932535 193.0279 8.834141

[1] “lb”

antofagasta lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9222 0.4247152 0.9257 0.4118475 0.9498 0.3829101 0.8898 0.4872185 0.9453 0.3991509
car 7.7347 4.2745781 7.8080 4.1751983 7.1686 4.5347867 8.1617 3.8157648 7.9478 4.0384641
cycle 12.4098 0.0298126 0.0105 0.0004859 13.0243 0.0288428 11.3479 0.0246459 11.7547 0.0274360
motorcycle 49.9310 0.7265997 51.0073 0.6863514 51.6658 0.6989663 49.9273 0.6901878 24.1272 2.6111725
pedestrian 52.0783 2.3405993 52.7490 2.2181357 56.4157 2.4110188 45.6657 2.1861343 50.2357 2.1818412
truck 3.4764 0.7236826 3.4737 0.7231354 3.4818 0.7248199 3.4667 0.7216601 3.4704 0.7224328
active_travel 50.0655 2.3704119 25.1562 2.2186216 54.2780 2.4398615 44.1763 2.2107801 48.2732 2.2092772

[1] NA

arica mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.6000 0.4581633 3.6507 0.4404033 3.9488 0.3900987 3.1304 0.5819860 3.7643 0.4099939
car 34.5337 9.3923469 35.0950 9.0412055 30.2795 9.9031473 36.1467 8.2655611 35.3483 8.7064837
cycle 64.9284 0.6872449 28.0235 1.1432083 69.5869 0.6806503 65.2728 0.6238351 64.0989 0.6225535
motorcycle 198.6391 2.0617347 202.0849 1.9633688 205.4706 1.9343575 199.2214 2.0082777 109.9070 7.7913484
pedestrian 265.4237 9.6214286 264.8936 9.1181045 278.7568 9.6030322 244.8599 9.3136471 252.5892 8.9336873
truck 22.8131 2.5198980 22.7576 2.5137694 22.8436 2.5232705 22.7256 2.5102411 22.6968 2.5070598
active_travel 220.1110 10.3086735 136.4239 10.2613128 232.5005 10.2836824 208.7970 9.9374822 211.9801 9.5562408

[1] “ub”

arica ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 27.0187 3.438577 27.3958 3.304918 29.6625 2.930331 23.4579 4.361133 28.2481 3.076705
car 54.0975 14.713225 54.9994 14.168983 47.2642 15.458132 57.0412 13.043449 55.3942 13.643890
cycle 219.2302 2.320477 94.6716 3.862092 233.7286 2.286169 222.8751 2.130097 216.5086 2.102817
motorcycle 529.1927 5.492648 538.3803 5.230667 547.8371 5.157492 531.1143 5.353967 285.6891 20.252606
pedestrian 463.8845 16.815497 463.9568 15.970212 480.4268 16.550461 440.4155 16.751925 443.8076 15.696782
truck 54.7712 6.049946 54.3499 6.003411 54.9558 6.070340 54.1965 5.986462 53.8818 5.951701
active_travel 408.5917 19.135974 263.6700 19.832304 425.8714 18.836631 396.7312 18.882021 394.8374 17.799599

[1] “lb”

arica lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.4799 0.0610808 0.4867 0.0587192 0.5260 0.0519620 0.4180 0.0777046 0.5019 0.0546646
car 22.5541 6.1341717 22.9097 5.9020108 19.8196 6.4821545 23.4958 5.3727095 23.0694 5.6821191
cycle 19.3577 0.2048943 8.3506 0.3406591 20.8428 0.2038695 19.2660 0.1841319 19.1023 0.1855293
motorcycle 75.3378 0.7819532 76.6376 0.7445777 77.8487 0.7328898 75.5413 0.7615035 42.6424 3.0229375
pedestrian 167.1294 6.0583274 166.5602 5.7332964 177.2914 6.1075995 150.8653 5.7384077 158.6938 5.6127534
truck 11.2924 1.2473398 11.2851 1.2465308 11.2972 1.2478679 11.2794 1.2459086 11.2772 1.2456572
active_travel 133.7324 6.2632216 80.7531 6.0739555 142.6940 6.3114690 124.4388 5.9225396 128.6197 5.7982827

[1] NA

belo_horizonte mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.3689 5.1450544 1.3775 5.0621873 1.4158 4.7303817 1.2805 5.9611977 1.4160 4.9275109
car 17.2422 94.0809950 17.4188 91.9001857 16.2940 103.4783061 18.0669 85.6481043 17.8819 90.6272053
cycle 172.9881 14.9941586 93.5313 44.1936286 183.3639 13.6144429 180.0909 14.1329233 180.2928 14.6923038
motorcycle 73.0562 131.2723884 73.5499 129.7533768 76.2256 123.1917509 77.6321 122.6432259 62.1297 164.5613637
other 92.4962 51.7445473 93.0671 50.5435732 94.9885 46.7623267 95.5764 45.7802911 93.9352 49.1388963
pedestrian 233.0073 167.2877693 237.6608 161.9347157 240.2861 161.2734803 227.1966 171.3699067 246.5305 170.0871583
rail 0.1649 0.1470016 0.1654 0.1449699 0.1685 0.1346731 0.1649 0.1470016 0.1674 0.1381436
truck 3.6078 7.2030762 3.6051 7.1975939 3.5971 7.1816784 3.6073 7.2020378 3.6426 7.2726352
active_travel 226.5418 182.2819279 178.6408 206.1283444 234.6163 174.8879232 222.7575 185.5028300 239.5332 184.7794621

[1] “ub”

belo_horizonte ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.2750 8.550326 2.2930 8.426598 2.3613 7.889554 2.1086 9.816414 2.3690 8.243606
car 19.5817 106.846028 19.8355 104.650205 18.4660 117.272052 20.5418 97.381014 20.3366 103.067746
cycle 235.9442 20.451036 126.9795 59.997966 250.1233 18.571212 245.6617 19.278701 246.0209 20.048573
motorcycle 82.9687 149.083823 84.0008 148.190325 86.5004 139.797409 88.1305 139.228692 70.5101 186.758400
other 106.5360 59.598771 107.2287 58.234565 109.4670 53.890033 110.1885 52.779407 108.3152 56.661284
pedestrian 260.8695 187.291506 267.7114 182.410239 268.6526 180.312289 254.1124 191.671984 276.2217 190.571837
rail 1.4307 1.275719 1.4357 1.258087 1.4624 1.168729 1.4307 1.275719 1.4531 1.198847
truck 5.5823 11.145191 5.5838 11.148198 5.5624 11.105549 5.5808 11.142154 5.6434 11.267238
active_travel 258.1845 207.742542 210.0827 242.408205 266.8070 198.883502 253.3161 210.950685 273.0313 210.620410

[1] “lb”

belo_horizonte lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.8476 3.185770 0.8521 3.1315228 0.8741 2.9205928 0.7985 3.717311 0.8722 3.0349733
car 15.2438 83.176765 15.3752 81.1184051 14.4320 91.6536833 15.9545 75.634052 15.7869 80.0097039
cycle 126.9613 11.004672 68.9429 32.5755998 134.5566 9.9905914 132.1551 10.371084 132.2565 10.7777597
motorcycle 64.6701 116.203748 64.8826 114.4628321 67.5100 109.1060721 68.7363 108.589694 55.0213 145.7336664
other 81.0096 45.318685 81.4977 44.2604188 83.1620 40.9402088 83.6552 40.070178 82.2096 43.0050384
pedestrian 209.1422 150.153804 212.5284 144.8103030 215.8984 144.9050759 204.0904 153.941356 221.0312 152.4945879
rail 0.0190 0.016939 0.0191 0.0167049 0.0194 0.0155184 0.0190 0.016939 0.0193 0.0159183
truck 2.3529 4.697555 2.3497 4.6913163 2.3470 4.6858978 2.3527 4.697258 2.3727 4.7371282
active_travel 200.2894 161.158476 153.7312 177.3859027 207.7962 154.8956673 197.3114 164.312439 211.6531 163.2723476

[1] NA

bogota mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5206 7.347687 0.5234 7.212289 0.5330 6.956853 0.4907 8.189957 0.5346 7.055780
car 2.0056 20.707117 2.0202 20.310402 1.8862 22.947492 2.1074 18.359276 2.0779 19.931903
cycle 56.8204 63.011979 35.7489 72.784926 59.6140 60.974468 59.4688 57.601996 61.1130 62.552710
motorcycle 38.0593 195.270338 38.2712 192.865933 39.5519 190.181741 40.6978 173.978538 30.5598 219.933604
pedestrian 65.0211 166.992877 66.6672 161.479798 67.8675 162.653275 62.7886 165.234426 68.9869 167.439492
truck 0.3856 1.558600 0.3851 1.555071 0.3859 1.559888 0.3818 1.543094 0.3894 1.573941
active_travel 62.5480 230.004856 52.5472 234.264724 65.3987 223.627743 61.8954 222.836422 66.6513 229.992202

[1] “ub”

bogota ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9275 13.091200 0.9330 12.856539 0.9512 12.415052 0.8727 14.565036 0.9554 12.611020
car 3.1259 32.274048 3.1497 31.666089 2.9305 35.652957 3.2837 28.606508 3.2378 31.058234
cycle 72.9217 80.867885 46.5600 94.796285 76.4213 78.165332 76.2643 73.870265 78.3397 80.185162
motorcycle 48.1810 247.201359 48.5284 244.556866 49.9887 240.365937 51.4797 220.069662 39.0229 280.841030
pedestrian 81.0382 208.129551 83.2130 201.556662 84.5186 202.559684 78.2442 205.907275 85.9867 208.699914
truck 1.1924 4.819507 1.1903 4.806912 1.1937 4.824712 1.1764 4.754758 1.2084 4.883698
active_travel 78.5905 288.997436 66.4740 296.352946 82.0965 280.725016 77.7115 279.777540 83.7184 288.885076

[1] “lb”

bogota lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.2979 4.204383 0.2994 4.1253161 0.3045 3.9750430 0.2812 4.6929375 0.3050 4.0259821
car 1.3003 13.425342 1.3094 13.1647020 1.2267 14.9240519 1.3665 11.9045272 1.3471 12.9225226
cycle 44.5921 49.451236 27.7052 56.4079277 46.8298 47.8985085 46.7008 45.2348500 47.9995 49.1302652
motorcycle 30.3407 155.668596 30.4707 153.5556194 31.5750 151.8256906 32.4634 138.7774734 24.1845 174.0512338
pedestrian 52.4347 134.667491 53.7016 130.0748810 54.7665 131.2550178 50.6461 133.2801341 55.6154 134.9851834
truck 0.1304 0.527085 0.1303 0.5260765 0.1305 0.5274028 0.1295 0.5233708 0.1313 0.5307418
active_travel 50.0696 184.118727 41.8294 186.4828088 52.3925 179.1535263 49.5846 178.5149841 53.3563 184.1154486

[1] NA

buenos_aires mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.4371 3.385700 0.4405 3.281770 0.4461 3.119455 0.4166 4.101711e+00 0.4444 3.167886
car 10.5489 85.488915 10.6220 83.344902 9.7099 99.887405 984.1572 6.175988e+03 11.1797 83.327183
cycle 27.1916 15.235648 16.4662 24.568185 29.0160 14.920803 462.9798 2.310445e+02 31.5371 16.665434
motorcycle 112.9509 207.374100 113.2507 203.979308 120.2513 200.003328 124971.6972 1.668258e+05 80.0731 333.222226
pedestrian 128.1978 251.388194 129.8926 241.930763 136.4337 250.539189 2471.9926 5.192712e+03 152.8727 284.792901
truck 0.9524 2.539275 0.9524 2.539275 0.9524 2.539275 0.9524 2.539275e+00 0.9524 2.539275
active_travel 105.7508 266.623843 79.4432 266.498948 112.9343 265.459992 2086.3363 5.423756e+03 126.0604 301.458335

[1] “ub”

buenos_aires ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.3317 10.315435 1.3421 9.998786 1.3592 9.504250 1.2693 1.249695e+01 1.3540 9.651809
car 14.4998 117.506828 14.6311 114.802439 13.2779 136.592667 1678.5802 1.053378e+04 15.5176 115.659084
cycle 57.8692 32.424520 36.5880 54.590776 61.3494 31.547441 876.2957 4.373047e+02 66.1245 34.942794
motorcycle 148.3976 272.453022 149.8594 269.916229 157.6480 262.201797 164316.6234 2.193477e+05 105.2558 438.019127
pedestrian 160.7183 315.158823 164.3806 306.166256 170.4573 313.018136 3150.0332 6.617016e+03 192.3439 358.325357
truck 3.4474 9.191765 3.4474 9.191765 3.4474 9.191765 3.4474 9.191765e+00 3.4474 9.191765
active_travel 137.8617 347.583343 107.5415 360.757033 146.5881 344.565577 2713.5596 7.054321e+03 164.4524 393.268152

[1] “lb”

buenos_aires lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1435 1.1112437 0.1446 1.0771323 0.1464 1.0238577 0.1367 1.346251e+00 0.1459 1.0397537
car 7.8079 63.2756382 7.8554 61.6370761 7.2167 74.2392689 577.4651 3.623829e+03 8.2050 61.1550137
cycle 13.3540 7.4823368 7.8126 11.6566448 14.3241 7.3658425 245.4206 1.224742e+02 15.6501 8.2701055
motorcycle 87.0624 159.8435344 87.0091 156.7146400 92.8383 154.4096231 96684.0239 1.290643e+05 61.6335 256.4861396
pedestrian 103.5584 203.0717030 104.5099 194.6544553 110.4976 202.9115899 1941.1546 4.077624e+03 122.7930 228.7560978
truck 0.2631 0.7014883 0.2631 0.7014883 0.2631 0.7014883 0.2631 7.014883e-01 0.2631 0.7014883
active_travel 83.5119 210.5540398 61.5012 206.3111000 89.4581 210.2774324 1615.6363 4.200098e+03 99.1169 237.0262034

[1] NA

cali mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1551 0.2783215 0.1557 0.2742914 0.1576 0.2613339 0.1436 0.3791763 0.1581 0.2576454
car 5.3053 11.1328585 5.3221 10.9090439 4.7384 12.6067681 5.4672 10.2091365 5.4526 10.5248432
cycle 107.2446 28.9454320 70.2408 37.9786780 115.3163 28.0785076 110.1690 26.5248226 112.6178 28.3938865
motorcycle 33.7982 153.3551254 34.1450 150.1169518 35.4222 149.7437519 35.6372 140.8303159 32.1594 160.2050256
other 64.6108 0.2783216 64.1022 0.2567872 65.1516 0.2228988 62.9976 0.2036480 64.7973 0.2546832
pedestrian 199.1740 87.9495819 201.9536 84.7100550 208.8846 86.4824238 189.2016 85.0163179 208.3085 86.1742257
active_travel 164.3000 116.8950139 127.7814 122.6887330 174.2342 114.5609314 161.6287 111.5411406 172.0728 114.5681122

[1] “ub”

cali ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.1462 2.056513 1.1503 2.026735 1.1644 1.930992 1.0609 2.801728 1.1685 1.903738
car 8.3205 17.460225 8.3524 17.120295 7.3926 19.668524 8.5821 16.025846 8.5707 16.543505
cycle 142.0227 38.332108 94.3044 50.989668 152.3406 37.093577 146.2281 35.206582 148.7601 37.506332
motorcycle 40.3159 182.928232 40.8337 179.523537 42.1374 178.131407 42.4993 167.947981 38.2956 190.773152
other 481.8982 2.075855 478.3121 1.916070 485.6103 1.661387 469.7143 1.518414 483.1262 1.898908
pedestrian 237.0793 104.687502 241.2802 101.205724 248.4496 102.863107 225.9445 101.526450 247.5031 102.388439
active_travel 201.0191 143.019610 158.5129 152.195392 212.8582 139.956684 198.1330 136.733032 210.1116 139.894771

[1] “lb”

cali lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0210 0.0376671 0.0211 0.0371217 0.0213 0.0353680 0.0194 0.0513164 0.0214 0.0348689
car 3.4481 7.2357022 3.4576 7.0872985 3.0922 8.2269466 3.5493 6.6277976 3.5363 6.8258109
cycle 83.0920 22.4266311 54.0441 29.2212374 89.4453 21.7791412 85.1514 20.5014728 87.4023 22.0364192
motorcycle 28.7667 130.5250324 29.0092 127.5376527 30.1726 127.5514783 30.2850 119.6795073 27.3976 136.4839289
other 8.6773 0.0373787 8.6050 0.0344708 8.7531 0.0299466 8.4609 0.0273509 8.7041 0.0342112
pedestrian 168.4515 74.3833984 170.4207 71.4834831 176.7067 73.1601363 159.5061 71.6728543 176.4357 72.9889091
active_travel 136.0699 96.8100295 104.8849 100.7047206 144.3919 94.9392775 133.5652 92.1743271 142.7210 95.0253283

[1] NA

copiapo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 7.1415 0.6872449 7.1982 0.6658323 7.4024 0.5953498 6.6401 0.9195570 7.2969 0.6305341
car 21.1804 5.0397959 21.2916 4.8847684 19.0047 5.2300341 22.1044 4.4923459 21.8109 4.7000751
cycle 334.4041 1.1454082 103.8508 2.3938207 348.0143 1.1081343 337.1592 1.1179017 377.5057 1.2496083
motorcycle 369.2802 2.5198980 377.8533 2.3925397 387.0143 2.3237236 371.6999 2.4931990 178.3397 9.1074228
pedestrian 122.7450 2.5198980 123.1164 2.3998809 125.0863 2.4637420 116.7191 2.5724394 138.0361 2.7492122
truck 9.8249 0.9163265 9.7699 0.9111930 9.7973 0.9137501 9.8233 0.9161767 10.2063 0.9518925
active_travel 153.0095 3.6653061 112.6780 4.7937017 156.1101 3.5718762 145.5456 3.6903411 172.1642 3.9988205

[1] “ub”

copiapo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 22.6605 2.180678 22.8405 2.112734 23.4885 1.889088 21.0694 2.917821 23.1537 2.000731
car 39.4446 9.385677 39.6624 9.099445 35.1789 9.681117 41.6736 8.469462 42.5794 9.175517
cycle 1070.4487 3.666524 331.8809 7.650046 1098.1146 3.496576 1098.1642 3.641127 1510.5224 5.000087
motorcycle 985.8123 6.726995 1007.7955 6.381288 1030.8558 6.189497 996.6455 6.685059 477.2141 24.370290
pedestrian 317.0165 6.508202 317.3626 6.186281 317.4657 6.252910 308.0239 6.788716 462.2906 9.207265
truck 44.8581 4.183700 44.3461 4.135953 44.4539 4.146006 44.9777 4.194861 51.4611 4.799535
active_travel 424.7476 10.174726 325.2288 13.836327 426.1047 9.749486 411.3489 10.429844 611.6796 14.207351

[1] “lb”

copiapo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.2507 0.2165866 2.2685 0.2098383 2.3329 0.1876256 2.0926 0.2898001 2.2996 0.1987140
car 13.1866 3.1377064 13.2533 3.0406117 11.8451 3.2597319 13.7259 2.7895630 13.5039 2.9099777
cycle 113.7828 0.3897312 35.3421 0.8146563 119.5764 0.3807508 112.6635 0.3735526 115.7773 0.3832427
motorcycle 140.1478 0.9563418 143.5289 0.9088146 147.1373 0.8834466 140.6524 0.9434344 67.3282 3.4383057
pedestrian 53.3675 1.0956106 53.5327 1.0435015 55.0188 1.0836686 49.6225 1.0936584 53.6769 1.0690621
truck 2.6160 0.2439804 2.6097 0.2433903 2.6144 0.2438346 2.6137 0.2437692 2.6344 0.2456999
active_travel 62.0061 1.4853417 43.6768 1.8581578 64.0030 1.4644194 57.8662 1.4672110 62.5272 1.4523048

[1] NA

coquimbo_laserena mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.1862 1.3744898 3.1997 1.3451147 3.3297 1.2588196 2.9301 1.6201329 3.2306 1.2910482
car 18.7497 13.2867347 18.9303 12.9245394 17.0575 13.8270577 19.9659 12.0321844 19.3806 12.3711994
cycle 117.9160 1.3744898 0.0793 0.0053904 120.9081 1.2372965 110.8534 1.2243763 110.8094 1.2258616
motorcycle 325.2547 5.7270408 325.9859 5.6054900 340.2496 5.4277382 338.2240 5.1537762 145.1099 22.0099966
pedestrian 78.2952 8.0178571 79.0971 7.6137904 82.9851 8.0015409 71.9405 7.6800792 75.4573 7.3806204
truck 3.5181 0.9163265 3.5181 0.9163265 3.5181 0.9163265 3.5181 0.9163265 3.5181 0.9163265
active_travel 82.3442 9.3923469 46.3818 7.6191808 86.6237 9.2388375 75.5889 8.9044556 79.0494 8.6064820

[1] “ub”

coquimbo_laserena ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 10.3387 4.459971 10.3794 4.3633351 10.8654 4.107806 9.4006 5.197828 10.4780 4.187279
car 27.7511 19.665442 28.0244 19.1334857 25.1815 20.412418 29.7234 17.912360 28.6971 18.318235
cycle 281.0660 3.276250 0.1890 0.0128552 287.1458 2.938467 266.5600 2.944157 264.4298 2.925333
motorcycle 623.7242 10.982453 625.1587 10.7499173 651.3511 10.390498 649.9167 9.903275 281.6947 42.726917
pedestrian 121.1567 12.407113 122.5089 11.7925580 127.5832 12.301757 113.0619 12.070040 117.0059 11.444563
truck 9.5631 2.490834 9.5631 2.4908337 9.5631 2.490834 9.5631 2.490834 9.5631 2.490834
active_travel 137.4985 15.683363 71.8656 11.8054132 142.8930 15.240224 127.4538 15.014196 131.9857 14.369896

[1] “lb”

coquimbo_laserena lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0285 0.4436996 1.0332 0.4343303 1.0696 0.4043767 0.9550 0.5280656 1.0433 0.4169307
car 12.8891 9.1336697 13.0099 8.8824062 11.7469 9.5221907 13.6688 8.2372957 13.3150 8.4993364
cycle 49.8699 0.5813097 0.0335 0.0022788 51.2934 0.5249044 46.5331 0.5139581 46.8177 0.5179341
motorcycle 170.3571 2.9996249 170.7295 2.9357790 178.4959 2.8474071 176.8446 2.6947160 75.0498 11.3834069
pedestrian 51.7769 5.3022373 52.2701 5.0314542 55.1474 5.3173880 47.0113 5.0187371 49.8195 4.8729367
truck 1.2942 0.3370977 1.2942 0.3370977 1.2942 0.3370977 1.2942 0.3370977 1.2942 0.3370977
active_travel 51.5820 5.8835470 30.6429 5.0337330 54.7776 5.8422924 46.9664 5.5326953 49.5145 5.3908708

[1] NA

gran_valparaiso mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5410 0.4581633 0.5397 0.4386058 0.5715 0.4236069 0.4891 0.5130738 0.5398 0.4223606
car 13.6691 14.6612245 13.6374 14.0966491 12.3591 15.6334538 14.7506 13.0281049 13.7671 13.5220906
cycle 27.2171 0.4581633 0.0133 0.0015311 27.9690 0.4293427 26.2569 0.3768003 25.6562 0.3981481
motorcycle 218.1498 5.9561224 214.0857 5.7042785 218.9781 4.9215843 215.4692 4.4621407 6.0284 1.3932996
other 62.5242 0.2290816 60.6396 0.2164857 62.6656 0.2060929 60.9799 0.2165977 59.1787 0.1983279
pedestrian 126.5077 18.5556122 126.7044 17.6195310 134.4511 18.5239282 118.1166 18.4041246 121.9243 17.1938581
truck 6.6928 2.7489796 6.6928 2.7489796 6.6928 2.7489796 6.6928 2.7489796 6.6928 2.7489796
active_travel 116.2855 19.0137755 69.3631 17.6210621 123.7764 18.9532709 110.3698 18.7809250 112.3807 17.5920062

[1] “ub”

gran_valparaiso ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.2082 3.563515 4.1494 3.3719459 4.4265 3.281090 3.7796 3.965047 4.1300 3.231345
car 22.4005 24.026290 21.6232 22.3513488 19.9052 25.178785 23.9639 21.165486 21.5389 21.155528
cycle 114.8676 1.933640 0.0562 0.0064624 117.7775 1.807961 110.9025 1.591507 107.8972 1.674413
motorcycle 427.9098 11.683180 407.4888 10.8574713 426.9667 9.596178 421.0951 8.720436 11.3744 2.628901
other 504.6122 1.848842 480.8387 1.7166116 501.8624 1.650512 488.5036 1.735143 465.8028 1.561063
pedestrian 187.0254 27.432097 186.2784 25.9038946 196.7493 27.107021 175.8094 27.393420 179.1952 25.270246
truck 11.9219 4.896791 11.9219 4.8967908 11.9219 4.896791 11.9219 4.896791 11.9219 4.896791
active_travel 179.5966 29.365738 101.9929 25.9103570 188.8324 28.914982 170.3356 28.984927 172.1270 26.944659

[1] “lb”

gran_valparaiso lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0708 0.0599443 0.0710 0.0576994 0.0749 0.0555364 0.0642 0.0673613 0.0712 0.0556949
car 9.1570 9.8215939 9.2030 9.5128756 8.3389 10.5481079 9.8616 8.7099719 9.3204 9.1545294
cycle 6.4774 0.1090379 0.0032 0.0003644 6.6665 0.1023358 6.2402 0.0895495 6.1128 0.0948618
motorcycle 115.2653 3.1470764 113.9615 3.0364868 116.0380 2.6079821 113.8829 2.3583956 3.2018 0.7400223
other 7.9518 0.0291344 7.7784 0.0277691 8.0052 0.0263274 7.7823 0.0276422 7.6188 0.0255331
pedestrian 91.6332 13.4403795 91.8600 12.7740595 97.9341 13.4928114 84.9311 13.2333844 88.3688 12.4618356
truck 3.7572 1.5432329 3.7572 1.5432329 3.7572 1.5432329 3.7572 1.5432329 3.7572 1.5432329
active_travel 82.8663 13.5494174 50.2849 12.7744239 88.7846 13.5951472 78.2948 13.3229338 80.2143 12.5566974

[1] NA

iquique_altohospicio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.4790 0.6872449 3.3192 0.6329962 3.7500 0.6292849 2.9813 0.7751428 3.8162 0.6830167
car 16.8880 7.1015306 16.8219 6.8092243 15.3103 7.3732555 17.5933 6.4170183 17.5922 6.6912833
cycle 275.9259 0.6872449 0.2707 0.0097963 277.5118 0.5867811 267.9197 0.6366409 294.3232 0.7124349
motorcycle 228.2547 2.5198980 225.6823 2.3703008 236.3862 2.3205843 232.0936 2.4034420 120.7294 10.4571972
pedestrian 97.0326 3.6653061 97.0053 3.4699659 100.0202 3.6014948 90.5566 3.6749283 105.2920 3.8482684
truck 7.1202 1.1454082 7.1202 1.1454082 7.1202 1.1454082 7.1202 1.1454082 7.1202 1.1454082
active_travel 108.0985 4.3525510 48.3531 3.4797621 109.8648 4.1882759 100.3676 4.3115692 117.0338 4.5607033

[1] “ub”

iquique_altohospicio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 14.1586 2.796899 12.4294 2.3703509 15.0291 2.522008 12.0823 3.141399 16.8726 3.019863
car 30.2121 12.704425 28.8634 11.6834228 27.0596 13.031563 31.6693 11.551149 33.1563 12.611186
cycle 1051.0123 2.617742 1.0309 0.0373146 1045.5510 2.210752 1032.2677 2.452914 1326.4748 3.210847
motorcycle 612.7095 6.764220 573.8597 6.0271466 630.3427 6.188024 623.3089 6.454667 308.2785 26.702109
pedestrian 227.4105 8.590200 223.7868 8.0050495 229.4728 8.262779 215.9996 8.765599 311.0774 11.369420
truck 17.4155 2.801593 17.4155 2.8015931 17.4155 2.801593 17.4155 2.801593 17.4155 2.801593
active_travel 278.3568 11.207942 111.7528 8.0423641 274.7365 10.473531 261.1520 11.218513 374.1493 14.580267

[1] “lb”

iquique_altohospicio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9387 0.1854275 0.9284 0.1770481 1.0182 0.1708647 0.8069 0.2097934 0.9925 0.1776309
car 10.5141 4.4212409 10.5640 4.2761196 9.5667 4.6072240 10.9120 3.9800732 10.8265 4.1179233
cycle 76.4777 0.1904820 0.0750 0.0027141 77.4989 0.1638664 73.3966 0.1744078 75.5381 0.1828465
motorcycle 90.2585 0.9964402 90.7661 0.9532998 93.5788 0.9186558 91.6978 0.9495758 49.4753 4.2853948
pedestrian 47.2091 1.7832742 47.3728 1.6945656 49.2640 1.7738814 43.2546 1.7553385 46.8535 1.7124249
truck 2.9110 0.4682906 2.9110 0.4682906 2.9110 0.4682906 2.9110 0.4682906 2.9110 0.4682906
active_travel 49.0196 1.9737562 23.5846 1.6972797 50.8300 1.9377479 44.9219 1.9297463 48.6352 1.8952714

[1] NA

medellin mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 318.8052 0.1855476 313.0731 0.1822115 327.0707 0.1537509 316.0788 0.1344329 320.2547 0.1792224
bus 1.7749 2.7832146 1.7853 2.7033595 1.8158 2.6428981 1.6404 3.5134829 1.8127 2.6201729
car 3.2225 4.4531434 3.2383 4.3416586 2.7476 5.6550083 3.3675 3.9577588 3.2908 4.2176592
cycle 157.9430 10.0195726 3.2532 1.0357685 163.4672 9.1674182 156.2782 8.1317271 159.6744 9.3915693
motorcycle 35.9520 125.8013007 35.7317 123.1633615 37.7891 123.0500148 37.6695 116.9111908 33.8169 136.9000480
pedestrian 130.6661 75.1467947 132.9098 71.8034933 141.6586 76.9851469 125.4416 75.5176762 136.9342 74.4272959
truck 1.3896 0.7421906 1.3896 0.7421906 1.3896 0.7421906 1.3896 0.7421906 1.3896 0.7421906
active_travel 133.3760 85.1663673 84.8327 72.8392618 143.6986 86.1525651 127.8948 83.6494032 139.1547 83.8188652

[1] “ub”

medellin ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 2371.6498 1.380323 2324.5453 1.352907 2432.3207 1.143396 2350.6406 0.9997619 2382.1485 1.333109
bus 3.6615 5.741698 3.6757 5.565852 3.7752 5.494822 3.3270 7.1259024 3.7576 5.431337
car 5.6814 7.851002 5.6963 7.637168 4.7951 9.868817 5.9680 7.0141447 5.8226 7.462440
cycle 234.5027 14.876366 5.2783 1.680507 242.3074 13.588866 232.2395 12.0842748 236.9288 13.935439
motorcycle 41.5635 145.436475 40.9953 141.306105 43.6783 142.226426 43.5372 135.1218993 39.0369 158.032145
pedestrian 153.1333 88.067809 155.6170 84.070867 165.8949 90.156527 147.2000 88.6165922 160.3901 87.176231
truck Inf Inf Inf Inf Inf Inf Inf Inf Inf Inf
active_travel 161.2171 102.944176 99.8709 85.751374 173.0426 103.745394 153.9655 100.7008671 167.8639 101.111670

[1] “lb”

medellin lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 42.8688 0.0249500 42.1653 0.0245406 43.9931 0.0206805 42.5130 0.0180814 43.0678 0.0241018
bus 0.9403 1.4745637 0.9466 1.4333513 0.9579 1.3942577 0.8770 1.8782950 0.9579 1.3845602
car 1.9121 2.6422375 1.9234 2.5787996 1.6416 3.3785936 1.9907 2.3396171 1.9477 2.4962482
cycle 106.7956 6.7748926 2.0054 0.6384904 110.7056 6.2084909 105.5735 5.4933755 108.0311 6.3540660
motorcycle 31.2455 109.3324032 31.1676 107.4311328 32.8314 106.9064632 32.7255 101.5668276 29.4243 119.1177119
pedestrian 111.5844 64.1728170 113.5511 61.3450883 121.0479 65.7841688 106.9765 64.4014289 116.9960 63.5903675
truck 0.5112 0.2730367 0.5112 0.2730367 0.5112 0.2730367 0.5112 0.2730367 0.5112 0.2730367
active_travel 111.1086 70.9477097 72.1896 61.9835787 120.0805 71.9926597 106.8649 69.8948044 116.1206 69.9444335

[1] NA

mexico_city mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0460 11.024186 1.0506 10.737683 1.0616 10.268095 0.9951 12.656547 1.0063 9.962248
car 22.2538 288.203709 22.1804 280.530502 20.6056 311.692454 22.7330 247.142843 18.6625 228.040887
cycle 144.3242 32.285115 1.2373 1.499543 145.1151 29.416389 141.1000 28.212218 121.6158 25.419615
motorcycle 100.0264 102.367438 96.3051 96.441212 100.2782 93.814160 99.7305 84.875480 1.0965 3.653907
other 1309.0937 48.821393 1270.4812 45.551409 1241.9467 43.643576 1172.8274 37.689910 504.2410 18.127962
pedestrian 257.9485 502.387887 259.6742 479.472710 268.7381 491.341023 244.2758 499.557652 214.5094 398.919402
truck 2.1323 9.449302 2.1323 9.449302 2.1323 9.449302 2.1323 9.449302 2.1323 9.449302
active_travel 246.2425 534.673002 157.2648 480.972253 256.3997 520.757411 235.0867 527.769871 205.1236 424.339017

[1] “ub”

mexico_city ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.5595 26.97475 2.5557 26.120050 2.5792 24.94653 2.3442 29.81662 2.0753 20.546078
car 26.5186 343.43584 26.3340 333.063896 24.4892 370.43783 27.0583 294.16633 21.8656 267.179326
cycle 239.8284 53.64926 2.9140 3.531527 240.8782 48.82860 234.9554 46.97810 205.0802 42.864972
motorcycle 139.6168 142.88453 131.9341 132.120641 139.6778 130.67405 138.9573 118.25936 1.6163 5.386208
other 1984.8719 74.02389 1915.1102 68.663721 1891.8757 66.48290 1797.5722 57.76667 886.8923 31.884654
pedestrian 303.9842 592.04833 305.0832 563.317654 316.0468 577.83683 287.7623 588.49001 251.2391 467.225051
truck 4.1148 18.23497 4.1148 18.234965 4.1148 18.23497 4.1148 18.23497 4.1148 18.234965
active_travel 297.3746 645.69758 185.3442 566.849180 308.5445 626.66544 283.0592 635.46811 246.5753 510.090023

[1] “lb”

mexico_city lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5241 5.523555 0.5272 5.3876574 0.5329 5.154420 0.5035 6.404054 0.5253 5.200303
car 18.7830 243.254138 18.7595 237.2647026 17.4328 263.699115 19.2096 208.838178 16.0126 195.660689
cycle 89.6322 20.050588 0.5266 0.6382394 90.2063 18.285791 87.5085 17.496864 74.7815 15.630507
motorcycle 72.5103 74.207402 70.6589 70.7587710 72.7921 68.099864 72.3803 61.599133 0.7444 2.480437
other 903.3219 33.688525 880.5515 31.5709992 854.4771 30.027404 803.8346 25.831982 313.0669 11.255066
pedestrian 220.7269 429.894012 222.5617 410.9466979 230.3366 421.130552 209.1492 427.721747 184.9239 343.899763
truck 1.1049 4.896599 1.1049 4.8965987 1.1049 4.896599 1.1049 4.896599 1.1049 4.896599
active_travel 207.2210 449.944601 134.5771 411.5849373 216.3507 439.416343 198.3156 445.218611 173.7954 359.530270

[1] NA

montevideo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.2278 0.3384842 0.2296 0.3283884 0.2339 0.3048697 0.2190 0.3966338 0.2318 0.3160198
car 9.1263 13.8778514 9.1651 13.5002057 8.4749 15.4004798 9.7622 12.0686398 9.6416 13.1984663
cycle 91.2523 4.4002943 44.4012 9.2212700 98.6410 4.3379114 91.7393 4.0019520 95.2424 4.2333725
motorcycle 92.0670 45.3568801 92.5408 43.8051178 97.3633 44.3354204 99.0827 38.3013013 73.3441 59.5658082
pedestrian 51.5608 17.9396615 52.3772 17.1068704 56.4312 17.9110196 46.7347 17.4557778 52.9984 17.5958413
truck 1.9285 1.0154525 1.9285 1.0154525 1.9285 1.0154525 1.9285 1.0154525 1.9285 1.0154525
active_travel 56.3922 22.3399558 49.2769 26.3281404 61.5678 22.2489310 51.4412 21.4577297 57.9862 21.8292138

[1] “ub”

montevideo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.6834 2.501054 1.6962 2.426457 1.7280 2.252677 1.6180 2.930721 1.7125 2.335065
car 15.3157 23.289734 15.3375 22.592092 14.1128 25.645592 16.4212 20.300986 16.2562 22.253166
cycle 209.4350 10.099205 108.1236 22.455188 224.1061 9.855465 211.0882 9.208317 219.2945 9.747284
motorcycle 130.4307 64.256796 130.6867 61.861874 136.8244 62.304463 141.0635 54.529373 103.6786 84.201813
pedestrian 77.8660 27.092074 79.0310 25.812230 84.5324 26.830240 70.7357 26.420326 81.2013 26.959407
truck 6.1191 3.222105 6.1191 3.222105 6.1191 3.222105 6.1191 3.222105 6.1191 3.222105
active_travel 93.8811 37.191279 90.3394 48.267419 101.5177 36.685705 85.4136 35.628644 97.5061 36.706691

[1] “lb”

montevideo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0308 0.0458093 0.0311 0.0444430 0.0316 0.0412600 0.0296 0.0536791 0.0314 0.0427690
car 5.5875 8.4966370 5.6185 8.2759679 5.2158 9.4781409 5.9651 7.3744688 5.8708 8.0365529
cycle 41.5219 2.0022338 19.2125 3.9900661 45.2847 1.9914763 41.6508 1.8169352 43.1387 1.9174459
motorcycle 66.7414 32.8802243 67.1576 31.7897230 70.9148 32.2918289 71.5620 27.6629385 53.1426 43.1593521
pedestrian 34.8077 12.1107110 35.3743 11.5535702 38.3501 12.1721642 31.4811 11.7584454 35.3318 11.7304044
truck 0.6078 0.3200218 0.6078 0.3200218 0.6078 0.3200218 0.6078 0.3200218 0.6078 0.3200218
active_travel 35.6250 14.1129448 29.0922 15.5436362 39.1940 14.1636405 32.5446 13.5753805 36.2536 13.6478502

[1] NA

osorno mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 37.0743 7.5596939 37.4399 7.3451153 32.9598 7.9231178 38.7397 6.8519279 37.9600 7.0763502
cycle 33.2999 0.2290816 14.3383 0.3857289 36.2164 0.2208691 34.9265 0.2119903 32.3646 0.2122075
motorcycle 177.2760 1.1454082 180.5674 1.0889269 182.6137 1.0948511 179.0448 1.1058629 87.3101 4.2100462
pedestrian 137.2506 4.8107143 138.0934 4.5788490 143.3040 4.7434557 129.7130 4.7930000 132.5531 4.4600029
truck 19.3547 1.6035714 19.3547 1.6035714 19.3547 1.6035714 19.3547 1.6035714 19.3547 1.6035714
active_travel 120.1957 5.0397959 82.6609 4.9645779 126.6434 4.9643248 116.3398 5.0049903 116.2135 4.6722103

[1] “ub”

osorno ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 63.5860 12.965590 64.2142 12.597801 56.2531 13.522507 67.0377 11.857022 65.0946 12.134657
cycle 259.8465 1.787573 111.9227 3.010940 282.0027 1.719818 273.6365 1.660870 252.7284 1.657082
motorcycle 683.4147 4.415649 695.9673 4.197090 703.3436 4.216860 690.5371 4.265074 341.9757 16.489875
pedestrian 258.2578 9.052086 260.1012 8.624335 267.8004 8.864370 247.2315 9.135404 249.9360 8.409572
truck 41.2176 3.414948 41.2176 3.414948 41.2176 3.414948 41.2176 3.414948 41.2176 3.414948
active_travel 258.5184 10.839660 193.7289 11.635275 270.0100 10.584187 250.9569 10.796274 250.3914 10.066655

[1] “lb”

osorno lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 22.4299 4.5736086 22.6480 4.4431773 20.0106 4.8102942 23.2854 4.1185146 22.9617 4.2804165
cycle 4.2814 0.0294531 1.8430 0.0495790 4.6661 0.0284566 4.4728 0.0271482 4.1586 0.0272673
motorcycle 46.1244 0.2980171 46.9897 0.2833752 47.5574 0.2851278 46.5623 0.2875899 22.3605 1.0782106
pedestrian 74.8597 2.6238754 75.2688 2.4957326 78.6651 2.6038672 69.8924 2.5825814 72.2018 2.4293688
truck 9.0885 0.7529958 9.0885 0.7529958 9.0885 0.7529958 9.0885 0.7529958 9.0885 0.7529958
active_travel 63.2801 2.6533285 42.3798 2.5453116 67.1524 2.6323238 60.6626 2.6097297 61.1048 2.4566360

[1] NA

puerto_montt mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.4475 0.4581633 1.4569 0.4499202 1.5094 0.4242277 1.3526 0.5039983 1.4757 0.4318047
car 14.9606 6.8724490 15.0929 6.7053815 13.6712 7.1519677 15.5308 6.3121665 15.1809 6.5388367
cycle 188.4476 0.4581633 0.1867 0.0067173 190.8054 0.3887888 182.4177 0.4350555 181.1053 0.4403124
motorcycle 222.9540 0.9163265 222.2477 0.8486576 222.8631 0.8268129 219.6935 0.8384348 5.3708 0.3858772
pedestrian 255.0415 13.5158163 259.5077 12.8945638 268.5720 13.2371879 237.6697 13.5213281 250.7862 12.7580730
truck 8.9691 1.6035714 8.9691 1.6035714 8.9691 1.6035714 8.9691 1.6035714 8.9691 1.6035714
active_travel 252.1204 13.9739796 150.5898 12.9012811 265.4846 13.6259767 235.4467 13.9563835 247.6079 13.1983855

[1] “ub”

puerto_montt ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 10.9727 3.473138 11.0441 3.410708 11.4471 3.217284 10.2411 3.815923 11.1853 3.273049
car 26.2384 12.053133 26.4868 11.767368 23.9173 12.512164 27.2874 11.090431 26.6245 11.467907
cycle 818.3490 1.989611 0.8110 0.029184 827.0542 1.685222 794.2098 1.894143 786.8177 1.912951
motorcycle 993.8886 4.084818 991.3749 3.785586 993.2862 3.685050 982.4149 3.749273 37.7179 2.709908
pedestrian 428.2415 22.694478 436.1996 21.674133 447.5770 22.059861 403.4812 22.954554 422.2485 21.480761
truck 19.1005 3.414948 19.1005 3.414948 19.1005 3.414948 19.1005 3.414948 19.1005 3.414948
active_travel 445.3536 24.684090 253.3313 21.703317 462.6424 23.745082 419.2019 24.848698 438.8770 23.393712

[1] “lb”

puerto_montt lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1911 0.0604959 0.1924 0.0594065 0.1992 0.0559909 0.1788 0.0666275 0.1949 0.0570199
car 8.7908 4.0382032 8.8636 3.9378765 8.0489 4.2107053 9.1124 3.7035356 8.9190 3.8416602
cycle 43.5323 0.1058380 0.0431 0.0015510 44.1566 0.0899744 42.0310 0.1002414 41.8184 0.1016710
motorcycle 55.6845 0.2288599 55.4859 0.2118740 55.6801 0.2065708 54.7588 0.2089808 0.8037 0.0577439
pedestrian 163.4949 8.6643429 166.1637 8.2564336 173.1790 8.5355262 151.0241 8.5919497 160.5230 8.1661778
truck 4.2117 0.7529958 4.2117 0.7529958 4.2117 0.7529958 4.2117 0.7529958 4.2117 0.7529958
active_travel 158.2327 8.7701809 96.3911 8.2579847 168.0568 8.6255005 146.6388 8.6921911 155.1087 8.2678488

[1] NA

san_antonio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 31.5377 3.2535405 31.9598 3.1555999 24.9277 3.0594163 33.8365 2.9171650 31.0480 2.7849657
cycle 361.0303 0.2667670 0.6559 0.0068777 339.6242 0.2267990 387.3949 0.2574478 328.5085 0.2416746
motorcycle 61.3723 0.2290816 60.6445 0.2116589 60.6933 0.1708588 65.7604 0.2122068 6.5730 0.1768073
other 223.3033 0.2707129 220.1393 0.2654180 142.3631 0.0782262 203.4258 0.2135804 220.7221 0.2244250
pedestrian 301.2695 2.6004012 303.5862 2.5017124 283.0422 2.3312609 309.1080 2.8847700 280.0630 2.3519855
truck 34.5761 1.3744898 34.5761 1.3744898 34.5761 1.3744898 34.5761 1.3744898 34.5761 1.3744898
active_travel 305.9819 2.8671682 133.9561 2.5085902 287.2857 2.5580599 314.3122 3.1422178 283.9650 2.5936601

[1] “ub”

san_antonio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 188.7246 19.469493 190.5867 18.8178701 145.8385 17.898980 201.5396 17.375429 176.6565 15.845872
cycle 5238.8761 3.871030 9.4588 0.0991886 4773.1936 3.187510 5532.9252 3.676970 4663.1574 3.430556
motorcycle 732.1952 2.733032 725.7800 2.5330885 710.9295 2.001350 781.3118 2.521268 84.5353 2.273906
other 2780.5154 3.370848 2736.2186 3.2990099 2144.0811 1.178137 2445.8588 2.567951 2480.3487 2.521960
pedestrian 2029.3300 17.516119 2042.1671 16.8285474 1882.3922 15.504216 2053.4629 19.164070 1847.9666 15.519331
truck 173.6261 6.902097 173.6261 6.9020968 173.6261 6.902097 173.6261 6.902097 173.6261 6.902097
active_travel 2282.4198 21.387150 903.9237 16.9277361 2099.1946 18.691726 2284.7612 22.841040 2074.7150 18.949887

[1] “lb”

san_antonio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 5.9103 0.6097318 6.0033 0.5927493 4.7483 0.5827613 6.3570 0.5480566 5.9692 0.5354282
cycle 26.7246 0.0197469 0.0481 0.0005045 25.8657 0.0172729 29.1440 0.0193680 24.6563 0.0181389
motorcycle 5.3071 0.0198097 5.2271 0.0182433 5.3477 0.0150544 5.7057 0.0184122 0.5332 0.0143437
other 20.2564 0.0245571 19.9942 0.0241066 10.4428 0.0057381 19.2157 0.0201749 21.3999 0.0217590
pedestrian 52.0544 0.4493065 52.4909 0.4325527 49.5406 0.4080379 53.9532 0.5035220 49.0118 0.4116040
truck 7.2509 0.2882419 7.2509 0.2882419 7.2509 0.2882419 7.2509 0.2882419 7.2509 0.2882419
active_travel 50.0570 0.4690535 23.1248 0.4330572 47.7650 0.4253109 52.3040 0.5228899 47.0501 0.4297429

[1] NA

santiago mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.7217 5.233301 9.0121 26.87000 8.9756 25.17888 7.4195 26.35376 1.7513 5.023457
car 23.0340 71.218394 130.5916 389.66243 112.5830 419.74282 123.6737 321.83471 23.4555 68.378471
cycle 168.9855 28.214316 232.9302 102.28013 436.4429 64.11872 402.8242 59.13830 173.5260 27.148283
motorcycle 110.3350 43.004078 52731.8435 20233.16910 53703.9275 19801.39344 52792.9346 17471.37909 75.9406 79.337158
other 219.9363 2.502883 3084.3588 33.54924 2976.2837 31.20073 2690.0236 27.98049 219.5374 2.334254
pedestrian 227.4042 121.276050 594.3644 300.94288 598.3468 297.25801 510.5898 291.13874 230.9269 117.406177
truck 6.4803 7.508648 82.6977 95.82051 79.8220 92.48849 72.2051 83.66292 6.4697 7.496352
active_travel 213.4756 149.490366 426.4973 403.22302 561.3960 361.37673 488.5246 350.27704 217.4197 144.554460

[1] “ub”

santiago ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.3467 10.17254 24.2969 72.4421 24.1610 67.77757 19.7799 70.25763 3.4115 9.785481
car 27.9875 86.53380 220.4579 657.8075 189.2113 705.43607 207.3857 539.67760 28.5515 83.234533
cycle 228.5961 38.16708 369.1104 162.0771 684.7467 100.59755 630.3468 92.54070 236.4629 36.994806
motorcycle 144.8467 56.45535 69347.9698 26608.7644 70213.0762 25888.54878 69055.1744 22853.23101 99.6651 104.122851
other 447.0645 5.08761 7174.6842 78.0406 6917.9008 72.52115 6247.0942 64.97963 446.8361 4.751030
pedestrian 274.3806 146.32886 891.5194 451.4006 887.5768 440.94717 754.8225 430.40049 281.5957 143.166820
truck 11.5206 13.34874 178.2695 206.5581 171.8989 199.17662 155.2767 179.91668 11.5168 13.344285
active_travel 263.4643 184.49594 648.8880 613.4777 841.2855 541.54472 729.3359 522.94119 270.9753 180.161626

[1] “lb”

santiago lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9148 2.780648 3.4526 10.29392 3.4449 9.663804 2.8863 10.25224 0.9290 2.664695
car 19.1697 59.270370 79.3077 236.64027 68.7581 256.350752 75.7416 197.10142 19.4926 56.825764
cycle 127.2963 21.253775 150.5263 66.09640 285.1143 41.886731 263.9470 38.74985 129.9159 20.325445
motorcycle 85.0427 33.146158 40965.0685 15718.26630 41757.8969 15396.723953 41047.7617 13584.41257 58.4595 61.074222
other 109.2081 1.242792 1328.9507 14.45529 1283.3129 13.453117 1161.1183 12.07746 108.8567 1.157430
pedestrian 192.8276 102.836168 411.8848 208.54851 418.7002 208.009794 358.7121 204.53799 194.2100 98.738848
truck 3.6928 4.278771 38.5348 44.64969 37.2323 43.140492 33.7407 39.09477 3.6821 4.266405
active_travel 177.2032 124.089943 290.4976 274.64491 388.2123 249.896525 339.3088 243.28784 179.0808 119.064293

[1] NA

sao_paulo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0576 9.678019 1.0628 9.385062 1.1162 9.027556 0.9588 10.919599 1.1361 9.598395
car 13.8070 164.732230 13.8901 159.550272 12.8712 186.021541 14.6188 142.583797 14.5283 160.606844
cycle 257.3022 37.682498 3.5491 4.496309 263.8686 33.711642 248.5277 32.659587 278.0635 38.904501
motorcycle 261.6329 424.391408 261.6370 413.596100 274.6415 405.085428 281.3432 365.048902 184.9250 773.684185
other 22.7871 1.441407 22.4358 1.305961 23.0841 1.377230 22.1355 1.140405 24.5205 1.301749
pedestrian 207.6555 391.444962 208.0087 373.695051 224.2359 391.274217 191.3688 383.559107 237.1378 425.183927
truck 3.2599 14.619985 3.2373 14.518890 3.2789 14.705440 3.2181 14.432507 3.3711 15.118713
active_travel 211.2345 429.127460 123.4540 378.191360 226.9397 424.985859 194.8859 416.218694 240.1002 464.088427

[1] “ub”

sao_paulo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.6046 14.682813 1.6105 14.220975 1.6944 13.703219 1.4519 16.53561 1.7262 14.583903
car 15.2955 182.491880 15.3697 176.546008 14.2383 205.779134 16.2053 158.05836 16.1357 178.376306
cycle 317.8208 46.545582 4.6936 5.946203 325.5815 41.596030 307.2861 40.38116 343.2905 48.030562
motorcycle 283.7919 460.335139 283.1092 447.539419 297.7677 439.195572 305.1357 395.92009 200.2188 837.669950
other 48.8090 3.087429 47.9888 2.793376 49.4280 2.948943 47.3979 2.44190 52.5151 2.787933
pedestrian 224.0843 422.414429 224.4375 403.210122 241.5874 421.551266 206.6180 414.12287 257.0163 460.825726
truck 4.5562 20.433471 4.5167 20.256734 4.5844 20.560118 4.4906 20.13939 4.7274 21.201593
active_travel 230.8418 468.960011 133.5620 409.156326 247.3177 463.147296 212.8122 454.50403 263.2612 508.856289

[1] “lb”

sao_paulo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.6983 6.3893871 0.7022 6.2002781 0.7365 5.9562715 0.6341 7.2214042 0.7488 6.3265898
car 12.4946 149.0736033 12.5761 144.4574510 11.6622 168.5484421 13.2192 128.9331919 13.1140 144.9714434
cycle 208.7255 30.5683318 2.6839 3.4001467 214.2790 27.3761193 201.4128 26.4681189 225.6433 31.5702720
motorcycle 241.8355 392.2782510 242.0989 382.7102884 253.9126 374.5111514 260.0091 337.3674294 171.1646 716.1138260
other 10.6480 0.6735439 10.4936 0.6108226 10.7895 0.6437184 10.3458 0.5330082 11.4577 0.6082712
pedestrian 192.8572 363.5491439 193.1862 347.0659521 208.5639 363.9277367 177.6482 356.0588565 219.2422 393.0975056
truck 2.3453 10.5182937 2.3318 10.4576871 2.3580 10.5752145 2.3184 10.3977878 2.4174 10.8413817
active_travel 194.0011 394.1174756 114.4036 350.4660988 208.9538 391.3038560 179.1104 382.5269754 219.7056 424.6677775

[1] NA

temuco_padrelascasas mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 16.7323 8.0178571 16.8759 7.8052032 15.2009 8.6176136 17.7207 6.8532123 17.0655 7.5315693
cycle 78.3794 2.0617347 31.0484 2.2846829 86.1100 2.0023736 80.9302 1.8481766 77.6770 1.9346460
motorcycle 123.0872 1.8326531 124.1461 1.7737945 126.6928 1.7411468 7358.3471 89.0809907 51.7190 5.9312204
pedestrian 93.8095 8.2469388 93.6731 7.7858205 99.6064 8.3126956 88.4199 8.1846317 91.1477 7.7407426
truck 2.4056 0.4581633 2.4056 0.4581633 2.4056 0.4581633 2.4056 0.4581633 2.4056 0.4581633
active_travel 90.2558 10.3086735 64.2655 10.0705034 96.6653 10.3150692 86.9377 10.0328083 88.0930 9.6753886

[1] “ub”

temuco_padrelascasas ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 54.1437 25.944888 54.6151 25.259807 49.2519 27.921577 57.6403 22.291506 55.2361 24.377562
cycle 254.3365 6.690208 103.0627 7.583818 278.3574 6.472830 264.5036 6.040384 251.6906 6.268684
motorcycle 509.5519 7.586752 513.7816 7.340891 524.9719 7.214720 33607.6165 406.857646 221.6106 25.414693
pedestrian 295.3516 25.964829 295.6267 24.571586 310.5080 25.913584 281.7810 26.083215 288.0562 24.463254
truck 14.1437 2.693811 14.1437 2.693811 14.1437 2.693811 14.1437 2.693811 14.1437 2.693811
active_travel 285.9057 32.655037 205.2017 32.155403 303.5019 32.386414 278.3620 32.123599 279.8097 30.731938

[1] “lb”

temuco_padrelascasas lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 5.4650 2.6187708 5.5097 2.5482616 4.9599 2.8118295 5.7615 2.2281588 5.5716 2.4589499
cycle 25.5852 0.6730064 9.9424 0.7316099 28.1891 0.6554998 26.2709 0.5999394 25.3820 0.6321727
motorcycle 30.9502 0.4608189 31.2274 0.4461753 31.8264 0.4373921 1663.5548 20.1391850 12.6842 1.4546477
pedestrian 33.1491 2.9141872 33.0113 2.7437956 35.4364 2.9573569 31.0053 2.8700214 32.1534 2.7306340
truck 0.4192 0.0798328 0.4192 0.0798328 0.4192 0.0798328 0.4192 0.0798328 0.4192 0.0798328
active_travel 31.4071 3.5871935 22.1785 3.4754055 33.8571 3.6128567 30.0684 3.4699608 30.6178 3.3628067

[1] NA

valdivia mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.1038 0.4338690 3.0938 0.4139459 3.2145 0.3776474 2.8927 0.5149620 3.1484 0.3974121
car 13.6717 3.1996214 13.9449 3.1124688 12.0968 3.3079510 14.2034 2.8560471 13.9253 3.0096300
cycle 80.2064 0.9484467 36.4796 1.2843416 83.2280 0.8922317 82.8013 0.9069095 81.4612 0.8997218
motorcycle 95.5490 0.6729878 96.8579 0.6205257 94.8846 0.6470705 99.5270 0.6594737 41.9431 2.0496104
pedestrian 71.0256 2.1883910 72.7846 2.1079437 71.8116 2.0602885 70.2925 2.3541879 71.0203 2.1027072
active_travel 73.5719 3.1368377 52.8652 3.3922853 74.9171 2.9525201 73.3751 3.2610973 73.8570 3.0024290

[1] “ub”

valdivia ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 24.2248 3.386277 24.2505 3.244645 24.8782 2.922715 23.6065 4.202461 24.6038 3.105632
car 81.8932 19.165719 83.4293 18.621179 72.0467 19.701629 85.1018 17.112394 83.3616 18.016617
cycle 613.6903 7.256935 310.2738 10.923856 634.0462 6.797187 630.4164 6.904852 619.9130 6.846812
motorcycle 877.6990 6.181965 884.3760 5.665804 873.6934 5.958201 901.9185 5.976181 411.3300 20.100231
pedestrian 366.1241 11.280752 374.1212 10.835067 370.5056 10.629871 360.9006 12.087043 364.6946 10.797555
active_travel 434.7859 18.537687 339.0903 21.758923 442.1931 17.427058 427.3202 18.991895 434.0353 17.644367

[1] “lb”

valdivia lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.4898 0.0684645 0.4865 0.0650890 0.5107 0.0599941 0.4406 0.0784354 0.4965 0.0626767
car 2.5757 0.6028108 2.6303 0.5870817 2.2984 0.6285073 2.6709 0.5370735 2.6257 0.5674748
cycle 12.0342 0.1423055 5.0872 0.1791051 12.5270 0.1342936 12.4530 0.1363953 12.2884 0.1357226
motorcycle 12.7440 0.0897604 13.0424 0.0835567 12.6177 0.0860469 13.4502 0.0891222 5.2874 0.2583746
pedestrian 14.8235 0.4567312 15.2344 0.4412081 14.9944 0.4301915 14.7024 0.4924043 14.8740 0.4403761
active_travel 14.0499 0.5990366 9.6669 0.6203132 14.3232 0.5644851 14.1481 0.6287996 14.1715 0.5760988

[1] NA

accra mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.6208 10.325895 3.6358 10.1052429 3.7075 9.692375 3.2924 10.975316 3.2863 8.5916894
car 20.1294 22.290821 20.4791 21.5902886 16.0213 24.805406 20.9008 17.171283 17.5131 17.8383298
cycle 218.9227 8.195155 0.0677 0.0168007 231.5737 7.818343 197.7634 5.958030 198.4432 6.8708278
motorcycle 108.2008 23.110336 107.0704 22.8488297 110.4114 20.686397 104.8570 16.089853 1.3586 0.9602863
pedestrian 184.2331 112.437521 186.2858 106.6857177 203.1470 114.922180 167.2804 101.164844 172.0949 99.4665639
truck 14.7151 4.917093 14.6834 4.9064753 14.6779 4.904651 14.3985 4.811293 13.8663 4.6334372
active_travel 186.2379 120.632676 129.9934 106.7025184 204.7480 122.740523 168.7269 107.122874 173.5841 106.3373917

[1] “ub”

accra ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.2603 15.001774 5.2559 14.6082992 5.3846 14.076690 4.7528 15.843954 4.7205 12.341154
car 26.4292 29.267072 26.7002 28.1489553 20.9654 32.460287 27.3998 22.510600 22.7497 23.172150
cycle 297.4839 11.136013 0.0920 0.0228319 314.0435 10.602672 268.9697 8.103267 268.6780 9.302610
motorcycle 142.1805 30.367967 138.8561 29.6318919 144.7339 27.116971 137.6373 21.119854 1.9434 1.373656
pedestrian 212.1038 129.447047 214.0792 122.6029298 232.7726 131.681627 193.1118 116.786710 196.9907 113.855702
truck 24.3432 8.134311 24.2002 8.0865500 24.2332 8.097574 23.4601 7.839232 21.9960 7.350011
active_travel 217.0381 140.583060 149.3924 122.6257617 237.3497 142.284299 196.7115 124.889977 201.0424 123.158311

[1] “lb”

accra lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.5120 7.163785 2.5247 7.0172584 2.5720 6.723919 2.2966 7.655808 2.3051 6.0263368
car 15.4618 17.122066 15.7477 16.6022113 12.3385 19.103470 16.0670 13.200076 13.5996 13.8521451
cycle 161.4889 6.045176 0.0499 0.0123915 171.1235 5.777438 145.7644 4.391455 146.8800 5.0855205
motorcycle 83.6257 17.861386 82.9353 17.6984034 85.4243 16.004881 80.9844 12.426705 0.9516 0.6726197
pedestrian 162.2655 99.030675 164.0783 93.9674605 179.5456 101.570612 147.0055 88.903372 152.4254 88.0980864
truck 9.3251 3.115984 9.3157 3.1128513 9.3120 3.111620 9.2105 3.077717 9.0176 3.0132642
active_travel 162.2206 105.075850 114.4937 93.9798520 179.0713 107.348050 146.9466 93.294827 152.1120 93.1836068

[1] NA

bangalore mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.2254 15.95592 5.2653 15.57191 5.4224 15.44991 4.8938 18.73171 5.4557 14.03762
car 47.3674 33.24149 47.4812 32.64617 33.5134 48.81772 49.8031 30.88356 50.5313 29.49498
cycle 105.9265 25.26353 58.6627 36.33090 128.5207 28.02239 110.9205 24.07459 109.7135 22.81822
motorcycle 54.0344 398.89792 54.5159 390.92715 58.6692 405.62411 56.9428 372.19442 50.6832 412.96871
other 991.2027 15.95592 986.7673 15.22704 1041.4033 15.71712 987.1008 13.98603 974.4294 13.76548
pedestrian 715.2913 393.57928 724.2287 378.13896 837.2227 445.64081 685.8111 399.58994 706.4768 364.94414
truck 51.9721 13.29660 51.9721 13.29660 51.9721 13.29660 51.9721 13.29660 51.9721 13.29660
active_travel 531.0297 418.84281 363.1096 414.46986 631.2794 473.66321 529.7815 423.66453 535.1774 387.76236

[1] “ub”

bangalore ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 11.8365 36.14330 11.9419 35.31785 12.3997 35.33023 10.9889 42.06164 12.4033 31.91372
car 84.6814 59.42767 85.0644 58.48685 60.1247 87.58135 88.9486 55.15823 90.2204 52.66133
cycle 173.2270 41.31477 95.9246 59.40792 209.7430 45.73195 181.5076 39.39508 179.4630 37.32472
motorcycle 66.3880 490.09584 67.2272 482.07856 72.1029 498.50150 69.9605 457.28219 62.2081 506.87468
other 2273.5409 36.59840 2269.4272 35.02008 2369.5603 35.76200 2265.4554 32.09877 2240.6293 31.65273
pedestrian 886.7402 487.91670 906.4947 473.30486 1031.8485 549.23716 850.7338 495.68266 875.8945 452.46009
truck 97.8234 25.02721 97.8234 25.02721 97.8234 25.02721 97.8234 25.02721 97.8234 25.02721
active_travel 670.9859 529.23148 466.7001 532.71278 792.9510 594.96911 669.1008 535.07774 675.9856 489.78482

[1] “lb”

bangalore lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.4194 7.387837 2.4367 7.206413 2.4919 7.099988 2.2812 8.731558 2.5188 6.480927
car 26.6709 18.717063 26.7254 18.375275 18.7972 27.381169 28.0678 17.405188 28.4850 16.626619
cycle 65.0111 15.505191 36.0047 22.298420 78.9990 17.224787 68.0460 14.768950 67.3199 14.001183
motorcycle 44.4247 327.956349 44.8029 321.276259 48.1846 333.136305 46.8125 305.979776 41.6983 339.759858
other 470.4501 7.573085 467.8910 7.220139 496.6139 7.495022 468.3205 6.635536 461.7797 6.523429
pedestrian 585.5136 322.170906 591.8644 309.028082 687.7217 366.063742 560.9351 326.830570 578.0185 298.586570
truck 27.6121 7.064291 27.6121 7.064291 27.6121 7.064291 27.6121 7.064291 27.6121 7.064291
active_travel 428.1225 337.676097 290.2692 331.326502 510.8316 383.288529 427.1613 341.599520 431.4238 312.587753

[1] NA

cape_town mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.7408 20.305130 5.6851 19.7718741 6.1247 19.466036 4.9367 21.899063 5.5649 18.162567
car 28.7087 188.431605 28.7594 183.6503329 27.4160 202.685546 30.3916 167.490722 28.2890 175.438054
cycle 474.2283 7.715949 0.1243 0.0410416 498.6905 6.603384 447.5923 7.050144 453.3322 6.960079
motorcycle 656.7633 47.717055 645.1096 46.1724620 668.4273 40.234199 636.6684 44.879541 1.5746 1.502118
other 117.1919 2.030513 115.0670 1.9030736 118.3083 1.615038 113.5056 1.966643 109.0378 1.889231
pedestrian 489.3325 331.988873 491.3970 320.2001561 541.5352 334.767478 461.5640 313.506140 479.9710 310.741551
truck 3.0095 6.294590 2.9462 6.1621453 3.0428 6.364175 2.8997 6.064825 2.7665 5.786342
active_travel 488.9788 339.704822 326.1489 320.2411977 540.6367 341.370862 461.2474 320.556284 479.3539 317.701630

[1] “ub”

cape_town ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 7.7646 27.46359 7.6584 26.6346280 8.2336 26.168721 6.7178 29.799805 7.4916 24.450871
car 32.1576 211.06805 32.1019 204.9948154 30.5820 226.092090 34.1032 187.945526 31.4764 195.205112
cycle 660.3431 10.74414 0.1730 0.0571483 693.8998 9.188238 623.7022 9.824097 630.9780 9.687503
motorcycle 800.1509 58.13486 781.9965 55.9698791 811.0570 48.819412 777.1580 54.782829 2.8311 2.700878
other 224.2562 3.88555 219.5791 3.6315804 225.9384 3.084307 217.2753 3.764597 207.9784 3.603515
pedestrian 526.1416 356.96212 528.2026 344.1831022 580.9922 359.159129 497.6071 337.987544 515.6014 333.809323
truck 5.0160 10.49128 4.9027 10.2542173 5.0487 10.559702 4.8567 10.158000 4.6320 9.688148
active_travel 529.2846 367.70626 350.5907 344.2402506 583.3600 368.347367 500.4650 347.811641 518.2742 343.496826

[1] “lb”

cape_town lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.3010 15.212616 4.2693 14.8480036 4.6134 14.6625962 3.6788 16.318872 4.1890 13.6718935
car 25.7924 169.289772 25.8844 165.2911854 24.7127 182.7002522 27.2576 150.218834 25.5526 158.4678793
cycle 340.7335 5.543918 0.0893 0.0294886 358.5481 4.7476964 321.3720 5.062015 325.8396 5.0026654
motorcycle 547.3226 39.765654 539.0958 38.5847321 558.8311 33.6373477 529.7122 37.340068 0.9477 0.9040928
other 61.3293 1.062616 60.3327 0.9978327 62.0232 0.8466846 59.3804 1.028848 57.2366 0.9917030
pedestrian 456.1661 309.487046 458.1453 298.5329432 505.7866 312.6683212 429.1886 291.515945 447.7576 289.8860244
truck 1.9932 4.168957 1.9559 4.0907634 2.0223 4.2296789 1.9173 4.010183 1.8388 3.8458848
active_travel 453.4626 315.030963 304.0702 298.5624318 502.6989 317.4160176 426.7450 296.577960 444.9333 294.8886898

[1] NA

delhi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9742 7.476387 0.9813 7.279129 1.0193 7.204244 0.8681 8.787028 1.0267 6.746453
car 12.5375 123.734206 12.5773 121.750667 11.5871 137.921421 13.0360 113.765349 13.2766 113.591714
cycle 93.7394 101.678865 63.1137 129.398681 104.7058 100.385445 98.9443 93.454277 98.3415 96.197451
motorcycle 86.1816 758.479472 87.1632 736.102402 91.8492 744.305216 92.1866 681.153810 73.2421 874.747200
pedestrian 416.1992 869.503820 420.8727 840.568737 447.1509 876.160993 402.1382 848.466129 428.5751 827.416286
truck 15.5967 49.717974 15.5130 49.451238 15.8096 50.396624 15.4228 49.163793 15.5065 49.430461
active_travel 305.9952 971.182685 239.6489 969.967417 334.6437 976.546438 308.3814 941.920406 317.5219 923.613737

[1] “ub”

delhi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.9420 14.90258 1.9559 14.50933 2.0317 14.36002 1.7303 17.51365 2.0466 13.44900
car 14.8781 146.83388 14.9239 144.46633 13.7358 163.49794 15.4803 135.09757 15.7730 134.95077
cycle 108.3786 117.55794 72.9654 149.59723 120.9829 115.99092 114.4301 108.08083 113.7900 111.30911
motorcycle 93.3450 821.52359 94.4038 797.25060 99.4143 805.60920 99.8941 738.10328 79.3852 948.11639
pedestrian 449.5082 939.09143 454.5013 907.73187 482.2888 945.01131 434.6226 917.00461 463.5356 894.91187
truck 20.3960 65.01701 20.2820 64.65346 20.6832 65.93249 20.1608 64.26703 20.2761 64.63468
active_travel 332.9235 1056.64936 261.2332 1057.32910 363.5850 1061.00222 335.6093 1025.08544 345.9208 1006.22098

[1] “lb”

delhi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.4888 3.750794 0.4923 3.651848 0.5114 3.61429 0.4356 4.408679 0.5150 3.384249
car 10.5761 104.377318 10.6107 102.713489 9.7844 116.46424 10.9892 95.902908 11.1872 95.715660
cycle 81.0842 87.951795 54.5965 111.936344 90.6257 86.88633 85.5610 80.813588 84.9978 83.144643
motorcycle 79.5887 700.455684 80.4987 679.820607 84.8816 687.84246 85.0958 628.761134 67.5923 807.271260
pedestrian 386.2095 806.850752 390.5907 780.089333 415.4408 814.02730 372.9245 786.828636 397.1211 766.690547
truck 11.9391 38.058632 11.8777 37.862927 12.0969 38.56168 11.8106 37.649136 11.8713 37.842543
active_travel 281.9297 894.802547 220.3919 892.025677 308.7257 900.91363 284.0629 867.642225 292.1581 849.835190

[1] NA

vizag mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.9785 3.364374 1.9973 3.246203 2.0446 3.109172 1.8971 3.870737 2.0440 3.010756
car 71.6483 8.074498 72.9161 7.730369 46.3810 21.850285 78.6850 6.480477 77.2893 7.108094
cycle 159.9198 15.924705 90.2868 22.263098 235.4244 21.566997 168.6456 12.959119 184.9037 16.276239
motorcycle 140.3660 117.753097 142.0872 114.330125 158.1916 119.883676 156.7852 95.690099 118.9914 152.265080
other 16.2545 2.018625 16.1392 1.984356 18.1154 1.999011 15.7892 1.357952 16.4609 1.345546
pedestrian 342.3609 116.631639 344.7824 110.280192 492.3731 159.618662 307.9099 105.637544 380.9173 121.605970
truck 176.3293 7.177332 175.7564 7.154014 185.5712 7.553515 174.0183 7.083264 177.3542 7.219050
active_travel 301.0947 132.556343 233.9950 132.543289 435.7610 181.185659 282.4257 118.596663 338.5519 137.882209

[1] “ub”

vizag ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.4714 7.603671 4.5193 7.345408 4.7629 7.242712 4.2181 8.606184 4.6720 6.881518
car 119.9968 13.523194 122.1499 12.950011 76.9796 36.265463 131.9875 10.870460 129.7293 11.930861
cycle 214.4055 21.350351 121.0521 29.849252 315.4771 28.900547 226.4005 17.397146 247.5683 21.792319
motorcycle 162.8657 136.628117 164.8144 132.617456 184.5628 139.868781 181.7936 110.953379 137.9906 176.577003
other 33.8530 4.204155 33.6091 4.132326 37.7775 4.168694 32.8714 2.827108 34.2898 2.802915
pedestrian 409.9400 139.653749 412.8911 132.065075 586.9851 190.290215 370.0075 126.941944 454.5437 145.110839
truck 298.8280 12.163536 297.1133 12.093741 326.4525 13.287965 291.9299 11.882754 301.8832 12.287892
active_travel 365.7123 161.004100 285.8473 161.914326 527.1653 219.190763 343.7286 144.339090 409.8090 166.903158

[1] “lb”

vizag lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0467 1.7799201 1.0563 1.716842 1.0728 1.631331 1.0081 2.0567522 1.0781 1.5879825
car 42.8759 4.8319607 43.6239 4.624890 28.0007 13.191245 47.0141 3.8720663 46.1529 4.2445647
cycle 119.2903 11.8788482 67.3462 16.606354 175.6951 16.095259 125.6352 9.6541058 138.1124 12.1574125
motorcycle 121.0993 101.5903005 122.6188 98.664874 135.7655 102.888329 135.3592 82.6132516 102.7040 131.4231682
other 7.8054 0.9693366 7.7508 0.952986 8.6878 0.958682 7.5848 0.6523307 7.9029 0.6459966
pedestrian 289.0666 98.4759340 291.0917 93.106998 416.2020 134.925330 259.3502 88.9776935 322.4308 102.9344588
truck 109.5970 4.4610509 109.4056 4.453261 112.6889 4.586905 108.8228 4.4295369 109.9408 4.4750460
active_travel 250.6650 110.3547822 193.6905 109.713352 363.2124 151.020589 234.8814 98.6317993 282.5932 115.0918714

[1] NA

kisumu mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 60.8717 7.4739810 61.7380 7.2057107 70.3043 7.4038537 51.1758 8.2793210 67.2606 6.4449217
car 34.3764 1.9668371 34.9455 1.8966662 27.0993 2.6554738 39.9293 1.6526078 36.9292 1.7513025
cycle 90.1872 1.5734697 53.9066 2.1508656 102.9676 1.6657560 91.8789 1.4804463 91.1094 1.4581241
motorcycle 200.3160 29.8959240 204.9100 28.5296553 227.5296 29.8456318 219.8319 25.9993515 170.1876 32.9205581
other 944.2593 2.7535720 933.1825 2.7212707 1001.4961 1.7050208 922.5567 1.6017301 917.4580 2.0722876
pedestrian 274.7307 14.9479620 278.5141 14.2978369 309.2731 15.8986564 269.0039 14.4233080 276.2590 13.7960276
truck 22.8334 0.3933674 22.8334 0.3933674 22.8334 0.3933674 22.8334 0.3933674 22.8334 0.3933674
active_travel 229.9235 16.5214317 180.2874 16.4487025 259.8901 17.5644124 228.0746 15.9037543 231.3238 15.2541517

[1] “ub”

kisumu ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 126.1438 15.488269 127.6679 14.900679 142.9751 15.056916 107.6112 17.409544 138.8845 13.307933
car 130.7884 7.483014 132.6491 7.199533 106.3422 10.420509 148.7812 6.157815 139.5439 6.617629
cycle 263.1848 4.591706 157.0971 6.268152 298.9203 4.835778 267.7024 4.313494 266.9289 4.271958
motorcycle 286.3058 42.729382 292.4006 40.710988 324.9197 42.620543 314.7359 37.223575 242.1583 46.842343
other 2183.5872 6.367599 2155.1046 6.284540 2307.0531 3.927697 2130.6076 3.699131 2126.3897 4.802935
pedestrian 445.8507 24.258521 450.7709 23.140836 497.2576 25.562284 435.3888 23.344440 451.4766 22.546170
truck 168.7153 2.906586 168.7153 2.906586 168.7153 2.906586 168.7153 2.906586 168.7153 2.906586
active_travel 401.4994 28.850228 322.3397 29.408987 449.7819 30.398063 396.6405 27.657934 406.6875 26.818128

[1] “lb”

kisumu lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 34.0747 4.1837804 34.6055 4.0389640 39.5416 4.1641873 28.6014 4.6271865 37.6244 3.6051784
car 10.5845 0.6055874 10.7785 0.5850055 8.1953 0.8030561 12.4470 0.5151626 11.4084 0.5410258
cycle 31.3587 0.5471060 18.7631 0.7486465 35.9230 0.5811439 31.9779 0.5152607 31.5871 0.5055226
motorcycle 144.7137 21.5976300 148.1904 20.6325762 164.0556 21.5195882 158.6063 18.7582469 123.4523 23.8802176
other 417.3369 1.2170040 412.8272 1.2038531 443.4634 0.7549848 408.0717 0.7084884 404.9336 0.9146346
pedestrian 175.7425 9.5620642 178.5100 9.1640135 198.7184 10.2154232 172.2581 9.2360415 176.1066 8.7945388
truck 3.0902 0.0532370 3.0902 0.0532370 3.0902 0.0532370 3.0902 0.0532370 3.0902 0.0532370
active_travel 140.6861 10.1091702 108.6486 9.9126600 159.7503 10.7965671 139.8428 9.7513022 141.0322 9.3000614

[1] NA

nairobi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.0348 33.436231 3.0567 32.7688239 3.1515 32.380315 2.8988 34.621195 3.1050 32.149892
car 13.5455 68.839299 13.5752 67.9001284 12.4494 75.681252 14.6113 61.756133 13.8443 66.248032
cycle 48.3105 9.834186 0.0079 0.0057761 50.1991 9.585743 46.3768 8.030495 47.3649 9.024736
motorcycle 111.8782 158.330387 112.8275 154.8740675 116.8594 153.251191 119.0080 144.511977 84.2965 213.276044
other 173.1908 8.850767 172.1336 8.6833115 174.4684 8.117700 171.2664 7.293684 172.1354 8.254906
pedestrian 254.0872 449.422279 258.7359 432.1947313 272.7148 454.729831 246.8730 427.153339 257.3740 429.002456
truck 2.9925 4.917093 2.9925 4.9170928 2.9925 4.917093 2.9925 4.917093 2.9925 4.917093
active_travel 232.8492 459.256465 179.9089 432.2005074 249.8505 464.315574 228.6335 435.183834 235.8305 438.027192

[1] “ub”

nairobi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.0153 55.25711 5.0030 53.6347639 5.1924 53.34989 4.7910 57.21984 5.1210 53.02391
car 19.4784 98.99082 19.3110 96.5894588 17.8946 108.78352 20.9366 88.49055 19.8712 95.08805
cycle 92.5323 18.83606 0.0151 0.0110627 96.0623 18.34353 88.8177 15.37948 90.9658 17.33228
motorcycle 142.9419 202.29184 142.0381 194.9703164 148.8878 195.25371 151.4637 183.92300 107.8568 272.88539
other 346.5299 17.70911 341.1808 17.2109362 348.5986 16.21967 342.0385 14.56632 343.9785 16.49579
pedestrian 300.0748 530.76402 304.6939 508.9634998 321.1677 535.52102 291.5093 504.38539 305.9946 510.04561
truck 7.3194 12.02689 7.3194 12.0268859 7.3194 12.02689 7.3194 12.02689 7.3194 12.02689
active_travel 278.6546 549.60008 211.8671 508.9745626 298.0373 553.86455 273.0700 519.76487 283.9363 527.37789

[1] “lb”

nairobi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.8872 20.792189 1.9055 20.4274249 1.9637 20.176097 1.8010 21.509832 1.9330 20.014379
car 9.5954 48.764564 9.6388 48.2111854 8.8141 53.582057 10.3724 43.839905 9.8151 46.967633
cycle 25.2573 5.141432 0.0041 0.0030199 26.2650 5.015419 24.2479 4.198707 24.7035 4.706908
motorcycle 90.9750 128.748165 92.0096 126.2981499 95.1039 124.720680 96.9137 117.682710 68.5315 173.389522
other 87.4373 4.468410 87.1162 4.3945929 88.1389 4.100943 86.5332 3.685172 86.9488 4.169706
pedestrian 216.9716 383.773251 221.0464 369.2379306 233.3631 389.114028 210.7262 364.610144 218.6480 364.452319
truck 1.2235 2.010313 1.2235 2.0103127 1.2235 2.010313 1.2235 2.010313 1.2235 2.010313
active_travel 197.1850 388.914684 153.7012 369.2409505 212.0830 394.129447 193.7619 368.808851 198.7525 369.159227

[1] NA

port_louis mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 10.2700 0.9834186 10.0360 0.9302421 11.5085 0.9097108 8.2235 1.030317 12.0960 0.9768358
cycle 1057.0057 2.2946433 563.7504 10.9793302 63113.9368 112.1018945 57971.5741 102.968118 67778.4352 109.2399619
motorcycle 264.7875 19.0127587 269.3244 17.5712193 287.2066 17.5523017 271.5066 16.664254 225.5785 24.1306376
pedestrian 475.4876 12.4566350 465.4001 11.5524884 504.0983 12.2035712 434.3827 11.775082 531.4083 12.7540113
truck 78.5533 1.6390309 77.3748 1.6144423 78.7718 1.6435906 76.4378 1.594892 80.1280 1.6718877
active_travel 519.9881 14.7512783 508.6394 22.5318186 4783.7581 124.3054657 3972.5793 114.743199 4763.1348 121.9939733

[1] “ub”

port_louis ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 35.7111 3.419555 34.9274 3.237433 40.0338 3.164543 28.6577 3.590495 41.9472 3.387532
cycle 3286.7232 7.135115 1604.8261 31.254818 273285.8363 485.405626 251137.8724 446.066791 293940.1136 473.749603
motorcycle 451.6368 32.429253 459.0217 29.947416 489.7823 29.932483 463.8304 28.468510 383.8544 41.061777
pedestrian 848.5681 22.230449 831.9549 20.651370 897.9508 21.738235 779.9478 21.142530 944.1912 22.660964
truck 295.0952 6.157225 289.9299 6.049450 296.0194 6.176509 285.9615 5.966648 301.8308 6.297764
active_travel 1035.1472 29.365564 1171.7443 51.906188 19516.8696 507.143861 16175.4777 467.209321 19381.8627 496.410568

[1] “lb”

port_louis lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.9621 0.2836423 2.8924 0.2681002 3.3176 0.2622464 2.3675 0.2966182 3.4977 0.2824624
cycle 362.2273 0.7863556 205.8773 4.0095672 14875.0874 26.4208757 13682.1140 24.3019367 15923.7172 25.6645976
motorcycle 157.1202 11.2818339 159.9698 10.4367194 170.3985 10.4137061 160.9350 9.8777079 134.1858 14.3541601
pedestrian 268.2690 7.0280056 262.2070 6.5086855 284.9184 6.8975077 243.6882 6.6058083 301.0539 7.2254127
truck 21.3117 0.4446727 21.0428 0.4390619 21.3632 0.4457470 20.8220 0.4344549 21.6796 0.4523487
active_travel 275.4592 7.8143612 237.4419 10.5182528 1282.2211 33.3183834 1070.0718 30.9077450 1284.1581 32.8900102

Change in deaths due to injury per Billion km across cities

# of deaths due to injury per 100,000 people

[1] “antofagasta” [1] NA

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.51 0.50 0.46 0.59 0.48 2.54
car 3.60 3.51 3.82 3.21 3.39 17.53
cycle 0.09 0.00 0.08 0.07 0.08 0.32
motorcycle 0.86 0.81 0.82 0.82 3.19 6.50
pedestrian 1.54 1.46 1.58 1.46 1.44 7.48
truck 0.86 0.86 0.86 0.85 0.85 4.28
active_travel 1.63 1.46 1.66 1.53 1.52 7.80
Total 9.09 8.60 9.28 8.53 10.95 46.45

[1] “ub”

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.70 1.65 1.54 1.95 1.60 8.44
car 8.52 8.30 9.07 7.60 8.02 41.51
cycle 0.66 0.01 0.64 0.56 0.61 2.48
motorcycle 2.74 2.59 2.62 2.62 10.61 21.18
pedestrian 2.88 2.73 2.91 2.79 2.69 14.00
truck 2.97 2.96 2.99 2.94 2.95 14.81
active_travel 3.54 2.74 3.55 3.34 3.30 16.47
Total 23.01 20.98 23.32 21.80 29.78 118.89

[1] “lb”

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.16 0.15 0.14 0.18 0.15 0.78
car 1.60 1.56 1.70 1.43 1.51 7.80
cycle 0.01 0.00 0.01 0.01 0.01 0.04
motorcycle 0.27 0.26 0.26 0.26 0.98 2.03
pedestrian 0.88 0.83 0.90 0.82 0.82 4.25
truck 0.27 0.27 0.27 0.27 0.27 1.35
active_travel 0.89 0.83 0.91 0.83 0.83 4.29
Total 4.08 3.90 4.19 3.80 4.57 20.54

[1] “arica” [1] NA

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.29 0.28 0.25 0.37 0.26 1.45
car 5.99 5.77 6.32 5.27 5.55 28.90
cycle 0.44 0.73 0.43 0.40 0.40 2.40
motorcycle 1.32 1.25 1.23 1.28 4.97 10.05
pedestrian 6.14 5.82 6.13 5.94 5.70 29.73
truck 1.61 1.60 1.61 1.60 1.60 8.02
active_travel 6.58 6.55 6.56 6.34 6.10 32.13
Total 22.37 22.00 22.53 21.20 24.58 112.68

[1] “ub”

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.19 2.11 1.87 2.78 1.96 10.91
car 9.39 9.04 9.86 8.32 8.70 45.31
cycle 1.48 2.46 1.46 1.36 1.34 8.10
motorcycle 3.50 3.34 3.29 3.42 12.92 26.47
pedestrian 10.73 10.19 10.56 10.69 10.01 52.18
truck 3.86 3.83 3.87 3.82 3.80 19.18
active_travel 12.21 12.65 12.02 12.05 11.36 60.29
Total 43.36 43.62 42.93 42.44 50.09 222.44

[1] “lb”

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.04 0.04 0.03 0.05 0.03 0.19
car 3.91 3.77 4.14 3.43 3.63 18.88
cycle 0.13 0.22 0.13 0.12 0.12 0.72
motorcycle 0.50 0.48 0.47 0.49 1.93 3.87
pedestrian 3.87 3.66 3.90 3.66 3.58 18.67
truck 0.80 0.80 0.80 0.79 0.79 3.98
active_travel 4.00 3.88 4.03 3.78 3.70 19.39
Total 13.25 12.85 13.50 12.32 13.78 65.70

[1] “belo_horizonte” [1] NA

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.13 0.12 0.15 0.13 0.66
car 2.39 2.34 2.63 2.18 2.31 11.85
cycle 0.38 1.12 0.35 0.36 0.37 2.58
motorcycle 3.34 3.30 3.13 3.12 4.19 17.08
other 1.32 1.29 1.19 1.16 1.25 6.21
pedestrian 4.26 4.12 4.10 4.36 4.33 21.17
rail 0.00 0.00 0.00 0.00 0.00 0.00
truck 0.18 0.18 0.18 0.18 0.19 0.91
active_travel 4.64 5.24 4.45 4.72 4.70 23.75
Total 16.64 17.72 16.15 16.23 17.47 84.21

[1] “ub”

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.22 0.21 0.20 0.25 0.21 1.09
car 2.72 2.66 2.98 2.48 2.62 13.46
cycle 0.52 1.53 0.47 0.49 0.51 3.52
motorcycle 3.79 3.77 3.56 3.54 4.75 19.41
other 1.52 1.48 1.37 1.34 1.44 7.15
pedestrian 4.77 4.64 4.59 4.88 4.85 23.73
rail 0.03 0.03 0.03 0.03 0.03 0.15
truck 0.28 0.28 0.28 0.28 0.29 1.41
active_travel 5.29 6.17 5.06 5.37 5.36 27.25
Total 19.14 20.77 18.54 18.66 20.06 97.17

[1] “lb”

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.07 0.09 0.08 0.40
car 2.12 2.06 2.33 1.92 2.04 10.47
cycle 0.28 0.83 0.25 0.26 0.27 1.89
motorcycle 2.96 2.91 2.78 2.76 3.71 15.12
other 1.15 1.13 1.04 1.02 1.09 5.43
pedestrian 3.82 3.68 3.69 3.92 3.88 18.99
rail 0.00 0.00 0.00 0.00 0.00 0.00
truck 0.12 0.12 0.12 0.12 0.12 0.60
active_travel 4.10 4.51 3.94 4.18 4.15 20.88
Total 14.63 15.32 14.22 14.27 15.34 73.78

[1] “bogota” [1] NA

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.13 0.12 0.14 0.12 0.64
car 0.36 0.36 0.40 0.32 0.35 1.79
cycle 1.10 1.27 1.07 1.01 1.09 5.54
motorcycle 3.42 3.37 3.33 3.04 3.85 17.01
pedestrian 2.92 2.82 2.85 2.89 2.93 14.41
truck 0.03 0.03 0.03 0.03 0.03 0.15
active_travel 4.02 4.10 3.91 3.90 4.02 19.95
Total 11.98 12.08 11.71 11.33 12.39 59.49

[1] “ub”

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.23 0.22 0.22 0.25 0.22 1.14
car 0.56 0.55 0.62 0.50 0.54 2.77
cycle 1.41 1.66 1.37 1.29 1.40 7.13
motorcycle 4.32 4.28 4.20 3.85 4.91 21.56
pedestrian 3.64 3.53 3.54 3.60 3.65 17.96
truck 0.08 0.08 0.08 0.08 0.09 0.41
active_travel 5.05 5.18 4.91 4.89 5.05 25.08
Total 15.29 15.50 14.94 14.46 15.86 76.05

[1] “lb”

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.07 0.07 0.07 0.08 0.07 0.36
car 0.23 0.23 0.26 0.21 0.23 1.16
cycle 0.86 0.99 0.84 0.79 0.86 4.34
motorcycle 2.72 2.69 2.66 2.43 3.04 13.54
pedestrian 2.36 2.28 2.30 2.33 2.36 11.63
truck 0.01 0.01 0.01 0.01 0.01 0.05
active_travel 3.22 3.26 3.13 3.12 3.22 15.95
Total 9.47 9.53 9.27 8.97 9.79 47.03

[1] “buenos_aires” [1] NA

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.04 0.04 0.04 0.05 0.04 0.21
car 0.97 0.94 1.13 69.95 0.94 73.93
cycle 0.17 0.28 0.17 2.62 0.19 3.43
motorcycle 2.35 2.31 2.27 1889.54 3.77 1900.24
pedestrian 2.85 2.74 2.84 58.82 3.23 70.48
truck 0.03 0.03 0.03 0.03 0.03 0.15
active_travel 3.02 3.02 3.01 61.43 3.41 73.89
Total 9.43 9.36 9.49 2082.44 11.61 2122.33

[1] “ub”

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.12 0.11 0.11 0.14 0.11 0.59
car 1.33 1.30 1.55 119.31 1.31 124.80
cycle 0.37 0.62 0.36 4.95 0.40 6.70
motorcycle 3.09 3.06 2.97 2484.43 4.96 2498.51
pedestrian 3.57 3.47 3.55 74.95 4.06 89.60
truck 0.10 0.10 0.10 0.10 0.10 0.50
active_travel 3.94 4.09 3.90 79.90 4.45 96.28
Total 12.52 12.75 12.54 2763.78 15.39 2816.98

[1] “lb”

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.01 0.01 0.01 0.02 0.01 0.06
car 0.72 0.70 0.84 41.05 0.69 44.00
cycle 0.08 0.13 0.08 1.39 0.09 1.77
motorcycle 1.81 1.78 1.75 1461.84 2.91 1470.09
pedestrian 2.30 2.20 2.30 46.19 2.59 55.58
truck 0.01 0.01 0.01 0.01 0.01 0.05
active_travel 2.38 2.34 2.38 47.57 2.68 57.35
Total 7.31 7.17 7.37 1598.07 8.98 1628.90

[1] “cali” [1] NA

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.02 0.02 0.02 0.02 0.02 0.10
car 0.70 0.69 0.79 0.64 0.66 3.48
cycle 1.82 2.39 1.77 1.67 1.79 9.44
motorcycle 9.66 9.46 9.43 8.87 10.09 47.51
other 0.02 0.02 0.01 0.01 0.02 0.08
pedestrian 5.54 5.34 5.45 5.36 5.43 27.12
active_travel 7.37 7.73 7.22 7.03 7.22 36.57
Total 25.13 25.65 24.69 23.60 25.23 124.30

[1] “ub”

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.13 0.12 0.18 0.12 0.68
car 1.10 1.08 1.24 1.01 1.04 5.47
cycle 2.42 3.21 2.34 2.22 2.36 12.55
motorcycle 11.53 11.31 11.22 10.58 12.02 56.66
other 0.13 0.12 0.10 0.10 0.12 0.57
pedestrian 6.60 6.38 6.48 6.40 6.45 32.31
active_travel 9.01 9.59 8.82 8.62 8.81 44.85
Total 30.92 31.82 30.32 29.11 30.92 153.09

[1] “lb”

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.00 0.00 0.00 0.00 0.00 0.00
car 0.46 0.45 0.52 0.42 0.43 2.28
cycle 1.41 1.84 1.37 1.29 1.39 7.30
motorcycle 8.22 8.04 8.04 7.54 8.60 40.44
other 0.00 0.00 0.00 0.00 0.00 0.00
pedestrian 4.69 4.50 4.61 4.52 4.60 22.92
active_travel 6.10 6.35 5.98 5.81 5.99 30.23
Total 20.88 21.18 20.52 19.58 21.01 103.17

[1] “copiapo” [1] NA

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.63 0.61 0.54 0.84 0.58 3.20
car 4.60 4.46 4.77 4.10 4.29 22.22
cycle 1.05 2.19 1.01 1.02 1.14 6.41
motorcycle 2.30 2.18 2.12 2.28 8.31 17.19
pedestrian 2.30 2.19 2.25 2.35 2.51 11.60
truck 0.84 0.83 0.83 0.84 0.87 4.21
active_travel 3.35 4.38 3.26 3.37 3.65 18.01
Total 15.07 16.84 14.78 14.80 21.35 82.84

[1] “ub”

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.99 1.93 1.72 2.66 1.83 10.13
car 8.57 8.31 8.84 7.73 8.38 41.83
cycle 3.35 6.98 3.19 3.32 4.56 21.40
motorcycle 6.14 5.83 5.65 6.10 22.25 45.97
pedestrian 5.94 5.65 5.71 6.20 8.40 31.90
truck 3.82 3.78 3.78 3.83 4.38 19.59
active_travel 9.29 12.63 8.90 9.52 12.97 53.31
Total 39.10 45.11 37.79 39.36 62.77 224.13

[1] “lb”

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.20 0.19 0.17 0.26 0.18 1.00
car 2.86 2.78 2.98 2.55 2.66 13.83
cycle 0.36 0.74 0.35 0.34 0.35 2.14
motorcycle 0.87 0.83 0.81 0.86 3.14 6.51
pedestrian 1.00 0.95 0.99 1.00 0.98 4.92
truck 0.22 0.22 0.22 0.22 0.22 1.10
active_travel 1.36 1.70 1.34 1.34 1.33 7.07
Total 6.87 7.41 6.86 6.57 8.86 36.57

[1] “coquimbo_laserena” [1] NA

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.43 0.42 0.40 0.51 0.41 2.17
car 4.17 4.06 4.34 3.78 3.89 20.24
cycle 0.43 0.00 0.39 0.38 0.38 1.58
motorcycle 1.80 1.76 1.70 1.62 6.91 13.79
pedestrian 2.52 2.39 2.51 2.41 2.32 12.15
truck 0.29 0.29 0.29 0.29 0.29 1.45
active_travel 2.95 2.39 2.90 2.80 2.70 13.74
Total 12.59 11.31 12.53 11.79 16.90 65.12

[1] “ub”

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.40 1.37 1.29 1.63 1.31 7.00
car 6.18 6.01 6.41 5.63 5.75 29.98
cycle 1.03 0.00 0.92 0.92 0.92 3.79
motorcycle 3.45 3.38 3.26 3.11 13.42 26.62
pedestrian 3.90 3.70 3.86 3.79 3.59 18.84
truck 0.78 0.78 0.78 0.78 0.78 3.90
active_travel 4.93 3.71 4.79 4.72 4.51 22.66
Total 21.67 18.95 21.31 20.58 30.28 112.79

[1] “lb”

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.14 0.14 0.13 0.17 0.13 0.71
car 2.87 2.79 2.99 2.59 2.67 13.91
cycle 0.18 0.00 0.16 0.16 0.16 0.66
motorcycle 0.94 0.92 0.89 0.85 3.57 7.17
pedestrian 1.67 1.58 1.67 1.58 1.53 8.03
truck 0.11 0.11 0.11 0.11 0.11 0.55
active_travel 1.85 1.58 1.83 1.74 1.69 8.69
Total 7.76 7.12 7.78 7.20 9.86 39.72

[1] “gran_valparaiso” [1] NA

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.07 0.06 0.06 0.07 0.06 0.32
car 2.13 2.05 2.27 1.89 1.96 10.30
cycle 0.07 0.00 0.06 0.05 0.06 0.24
motorcycle 0.86 0.83 0.71 0.65 0.20 3.25
other 0.03 0.03 0.03 0.03 0.03 0.15
pedestrian 2.69 2.56 2.69 2.67 2.50 13.11
truck 0.40 0.40 0.40 0.40 0.40 2.00
active_travel 2.76 2.56 2.75 2.73 2.55 13.35
Total 9.01 8.49 8.97 8.49 7.76 42.72

[1] “ub”

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.52 0.49 0.48 0.58 0.47 2.54
car 3.49 3.24 3.65 3.07 3.07 16.52
cycle 0.28 0.00 0.26 0.23 0.24 1.01
motorcycle 1.70 1.58 1.39 1.27 0.38 6.32
other 0.27 0.25 0.24 0.25 0.23 1.24
pedestrian 3.98 3.76 3.93 3.98 3.67 19.32
truck 0.71 0.71 0.71 0.71 0.71 3.55
active_travel 4.26 3.76 4.20 4.21 3.91 20.34
Total 15.21 13.79 14.86 14.30 12.68 70.84

[1] “lb”

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.01 0.01 0.01 0.01 0.01 0.05
car 1.43 1.38 1.53 1.26 1.33 6.93
cycle 0.02 0.00 0.01 0.01 0.01 0.05
motorcycle 0.46 0.44 0.38 0.34 0.11 1.73
other 0.00 0.00 0.00 0.00 0.00 0.00
pedestrian 1.95 1.85 1.96 1.92 1.81 9.49
truck 0.22 0.22 0.22 0.22 0.22 1.10
active_travel 1.97 1.85 1.97 1.93 1.82 9.54
Total 6.06 5.75 6.08 5.69 5.31 28.89

[1] “iquique_altohospicio” [1] NA

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.32 0.29 0.29 0.36 0.32 1.58
car 3.31 3.17 3.43 2.99 3.12 16.02
cycle 0.32 0.00 0.27 0.30 0.33 1.22
motorcycle 1.17 1.10 1.08 1.12 4.87 9.34
pedestrian 1.71 1.62 1.68 1.71 1.79 8.51
truck 0.53 0.53 0.53 0.53 0.53 2.65
active_travel 2.03 1.62 1.95 2.01 2.12 9.73
Total 9.39 8.33 9.23 9.02 13.08 49.05

[1] “ub”

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.30 1.10 1.17 1.46 1.41 6.44
car 5.92 5.44 6.07 5.38 5.87 28.68
cycle 1.22 0.02 1.03 1.14 1.50 4.91
motorcycle 3.15 2.81 2.88 3.01 12.44 24.29
pedestrian 4.00 3.73 3.85 4.08 5.30 20.96
truck 1.30 1.30 1.30 1.30 1.30 6.50
active_travel 5.22 3.75 4.88 5.23 6.79 25.87
Total 22.11 18.15 21.18 21.60 34.61 117.65

[1] “lb”

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.09 0.08 0.08 0.10 0.08 0.43
car 2.06 1.99 2.15 1.85 1.92 9.97
cycle 0.09 0.00 0.08 0.08 0.09 0.34
motorcycle 0.46 0.44 0.43 0.44 2.00 3.77
pedestrian 0.83 0.79 0.83 0.82 0.80 4.07
truck 0.22 0.22 0.22 0.22 0.22 1.10
active_travel 0.92 0.79 0.90 0.90 0.88 4.39
Total 4.67 4.31 4.69 4.41 5.99 24.07

[1] “medellin” [1] NA

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.01 0.01 0.01 0.01 0.01 0.05
bus 0.15 0.15 0.15 0.19 0.14 0.78
car 0.24 0.24 0.31 0.22 0.23 1.24
cycle 0.55 0.06 0.50 0.45 0.52 2.08
motorcycle 6.91 6.77 6.76 6.42 7.52 34.38
pedestrian 4.13 3.95 4.23 4.15 4.09 20.55
truck 0.04 0.04 0.04 0.04 0.04 0.20
active_travel 4.68 4.00 4.73 4.60 4.61 22.62
Total 16.71 15.22 16.73 16.08 17.16 81.90

[1] “ub”

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.08 0.07 0.06 0.05 0.07 0.33
bus 0.32 0.31 0.30 0.39 0.30 1.62
car 0.43 0.42 0.54 0.39 0.41 2.19
cycle 0.82 0.09 0.75 0.66 0.77 3.09
motorcycle 7.99 7.76 7.81 7.42 8.68 39.66
pedestrian 4.84 4.62 4.95 4.87 4.79 24.07
truck Inf Inf Inf Inf Inf Inf
active_travel 5.66 4.71 5.70 5.53 5.56 27.16
Total Inf Inf Inf Inf Inf Inf

[1] “lb”

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.00 0.00 0.00 0.00 0.00 0.00
bus 0.08 0.08 0.08 0.10 0.08 0.42
car 0.15 0.14 0.19 0.13 0.14 0.75
cycle 0.37 0.04 0.34 0.30 0.35 1.40
motorcycle 6.01 5.90 5.87 5.58 6.54 29.90
pedestrian 3.53 3.37 3.61 3.54 3.49 17.54
truck 0.02 0.02 0.02 0.02 0.02 0.10
active_travel 3.90 3.41 3.96 3.84 3.84 18.95
Total 14.06 12.96 14.07 13.51 14.46 69.06

[1] “mexico_city” [1] NA

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.16 0.16 0.15 0.18 0.14 0.79
car 4.19 4.08 4.53 3.59 3.31 19.70
cycle 0.47 0.02 0.43 0.41 0.37 1.70
motorcycle 1.49 1.40 1.36 1.23 0.05 5.53
other 0.71 0.66 0.63 0.55 0.26 2.81
pedestrian 7.30 6.97 7.14 7.26 5.80 34.47
truck 0.14 0.14 0.14 0.14 0.14 0.70
active_travel 7.77 6.99 7.57 7.67 6.17 36.17
Total 22.23 20.42 21.95 21.03 16.24 101.87

[1] “ub”

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.39 0.38 0.36 0.43 0.30 1.86
car 4.99 4.84 5.38 4.27 3.88 23.36
cycle 0.78 0.05 0.71 0.68 0.62 2.84
motorcycle 2.08 1.92 1.90 1.72 0.08 7.70
other 1.08 1.00 0.97 0.84 0.46 4.35
pedestrian 8.60 8.19 8.40 8.55 6.79 40.53
truck 0.26 0.26 0.26 0.26 0.26 1.30
active_travel 9.38 8.24 9.11 9.23 7.41 43.37
Total 27.56 24.88 27.09 25.98 19.80 125.31

[1] “lb”

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.07 0.09 0.08 0.40
car 3.53 3.45 3.83 3.03 2.84 16.68
cycle 0.29 0.01 0.27 0.25 0.23 1.05
motorcycle 1.08 1.03 0.99 0.90 0.04 4.04
other 0.49 0.46 0.44 0.38 0.16 1.93
pedestrian 6.25 5.97 6.12 6.22 5.00 29.56
truck 0.07 0.07 0.07 0.07 0.07 0.35
active_travel 6.54 5.98 6.39 6.47 5.22 30.60
Total 18.33 17.05 18.18 17.41 13.64 84.61

[1] “montevideo” [1] NA

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.03 0.03 0.03 0.04 0.03 0.16
car 1.43 1.39 1.59 1.24 1.36 7.01
cycle 0.45 0.95 0.45 0.41 0.44 2.70
motorcycle 4.67 4.51 4.56 3.94 6.13 23.81
pedestrian 1.85 1.76 1.84 1.80 1.81 9.06
truck 0.10 0.10 0.10 0.10 0.10 0.50
active_travel 2.30 2.71 2.29 2.21 2.25 11.76
Total 10.83 11.45 10.86 9.74 12.12 55.00

[1] “ub”

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.23 0.30 0.24 1.28
car 2.40 2.33 2.64 2.09 2.29 11.75
cycle 1.04 2.31 1.01 0.95 1.00 6.31
motorcycle 6.62 6.37 6.41 5.61 8.67 33.68
pedestrian 2.79 2.66 2.76 2.72 2.78 13.71
truck 0.33 0.33 0.33 0.33 0.33 1.65
active_travel 3.83 4.97 3.78 3.67 3.78 20.03
Total 17.27 19.22 17.16 15.67 19.09 88.41

[1] “lb”

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.00 0.00 0.00 0.01 0.00 0.01
car 0.87 0.85 0.98 0.76 0.83 4.29
cycle 0.21 0.41 0.21 0.19 0.20 1.22
motorcycle 3.39 3.27 3.32 2.85 4.44 17.27
pedestrian 1.25 1.19 1.25 1.21 1.21 6.11
truck 0.03 0.03 0.03 0.03 0.03 0.15
active_travel 1.45 1.60 1.46 1.40 1.41 7.32
Total 7.20 7.35 7.25 6.45 8.12 36.37

[1] “osorno” [1] NA

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 6.53 6.35 6.84 5.92 6.11 31.75
cycle 0.20 0.33 0.19 0.18 0.18 1.08
motorcycle 0.99 0.94 0.95 0.96 3.64 7.48
pedestrian 4.16 3.96 4.10 4.14 3.85 20.21
truck 1.39 1.39 1.39 1.39 1.39 6.95
active_travel 4.35 4.29 4.29 4.32 4.04 21.29
Total 17.62 17.26 17.76 16.91 19.21 88.76

[1] “ub”

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 11.20 10.88 11.68 10.24 10.48 54.48
cycle 1.54 2.60 1.49 1.43 1.43 8.49
motorcycle 3.81 3.63 3.64 3.68 14.25 29.01
pedestrian 7.82 7.45 7.66 7.89 7.27 38.09
truck 2.95 2.95 2.95 2.95 2.95 14.75
active_travel 9.36 10.05 9.14 9.33 8.70 46.58
Total 36.68 37.56 36.56 35.52 45.08 191.40

[1] “lb”

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 3.95 3.84 4.16 3.56 3.70 19.21
cycle 0.03 0.04 0.02 0.02 0.02 0.13
motorcycle 0.26 0.24 0.25 0.25 0.93 1.93
pedestrian 2.27 2.16 2.25 2.23 2.10 11.01
truck 0.65 0.65 0.65 0.65 0.65 3.25
active_travel 2.29 2.20 2.27 2.25 2.12 11.13
Total 9.45 9.13 9.60 8.96 9.52 46.66

[1] “puerto_montt” [1] NA

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.24 0.28 0.24 1.27
car 3.85 3.75 4.00 3.53 3.66 18.79
cycle 0.26 0.00 0.22 0.24 0.25 0.97
motorcycle 0.51 0.48 0.46 0.47 0.22 2.14
pedestrian 7.57 7.22 7.41 7.57 7.14 36.91
truck 0.90 0.90 0.90 0.90 0.90 4.50
active_travel 7.82 7.22 7.63 7.81 7.39 37.87
Total 21.17 19.82 20.86 20.80 19.80 102.45

[1] “ub”

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.94 1.91 1.80 2.14 1.83 9.62
car 6.75 6.59 7.00 6.21 6.42 32.97
cycle 1.11 0.02 0.94 1.06 1.07 4.20
motorcycle 2.29 2.12 2.06 2.10 1.52 10.09
pedestrian 12.70 12.13 12.35 12.85 12.02 62.05
truck 1.91 1.91 1.91 1.91 1.91 9.55
active_travel 13.82 12.15 13.29 13.91 13.09 66.26
Total 40.52 36.83 39.35 40.18 37.86 194.74

[1] “lb”

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.03 0.03 0.03 0.04 0.03 0.16
car 2.26 2.20 2.36 2.07 2.15 11.04
cycle 0.06 0.00 0.05 0.06 0.06 0.23
motorcycle 0.13 0.12 0.12 0.12 0.03 0.52
pedestrian 4.85 4.62 4.78 4.81 4.57 23.63
truck 0.42 0.42 0.42 0.42 0.42 2.10
active_travel 4.91 4.62 4.83 4.87 4.63 23.86
Total 12.66 12.01 12.59 12.39 11.89 61.54

[1] “san_antonio” [1] NA

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 5.01 4.86 4.72 4.50 4.29 23.38
cycle 0.41 0.01 0.35 0.40 0.37 1.54
motorcycle 0.35 0.33 0.26 0.33 0.27 1.54
other 0.42 0.41 0.12 0.33 0.35 1.63
pedestrian 4.01 3.86 3.59 4.45 3.63 19.54
truck 2.12 2.12 2.12 2.12 2.12 10.60
active_travel 4.42 3.87 3.94 4.84 4.00 21.07
Total 16.74 15.46 15.10 16.97 15.03 79.30

[1] “ub”

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 30.01 29.01 27.59 26.78 24.42 137.81
cycle 5.97 0.15 4.91 5.67 5.29 21.99
motorcycle 4.21 3.90 3.08 3.89 3.50 18.58
other 5.20 5.09 1.82 3.96 3.89 19.96
pedestrian 27.00 25.94 23.90 29.54 23.92 130.30
truck 10.64 10.64 10.64 10.64 10.64 53.20
active_travel 32.97 26.09 28.81 35.21 29.21 152.29
Total 116.00 100.82 100.75 115.69 100.87 534.13

[1] “lb”

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 0.94 0.91 0.90 0.84 0.83 4.42
cycle 0.03 0.00 0.03 0.03 0.03 0.12
motorcycle 0.03 0.03 0.02 0.03 0.02 0.13
other 0.04 0.04 0.01 0.03 0.03 0.15
pedestrian 0.69 0.67 0.63 0.78 0.63 3.40
truck 0.44 0.44 0.44 0.44 0.44 2.20
active_travel 0.72 0.67 0.66 0.81 0.66 3.52
Total 2.89 2.76 2.69 2.96 2.64 13.94

[1] “santiago” [1] NA

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.14 0.69 0.65 0.68 0.13 2.29
car 1.84 10.06 10.83 8.30 1.76 32.79
cycle 0.73 2.64 1.65 1.53 0.70 7.25
motorcycle 1.11 522.11 510.96 450.84 2.05 1487.07
other 0.06 0.87 0.81 0.72 0.06 2.52
pedestrian 3.13 7.77 7.67 7.51 3.03 29.11
truck 0.19 2.47 2.39 2.16 0.19 7.40
active_travel 3.86 10.40 9.33 9.04 3.73 36.36
Total 11.06 557.01 544.29 480.78 11.65 1604.79

[1] “ub”

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 1.87 1.75 1.81 0.25 5.94
car 2.23 16.97 18.20 13.93 2.15 53.48
cycle 0.98 4.18 2.60 2.39 0.95 11.10
motorcycle 1.46 686.62 668.04 589.72 2.69 1948.53
other 0.13 2.01 1.87 1.68 0.12 5.81
pedestrian 3.78 11.65 11.38 11.11 3.69 41.61
truck 0.34 5.33 5.14 4.64 0.34 15.79
active_travel 4.76 15.83 13.97 13.49 4.65 52.70
Total 13.94 744.46 722.95 638.77 14.84 2134.96

[1] “lb”

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.07 0.27 0.25 0.26 0.07 0.92
car 1.53 6.11 6.61 5.09 1.47 20.81
cycle 0.55 1.71 1.08 1.00 0.52 4.86
motorcycle 0.86 405.60 397.30 350.54 1.58 1155.88
other 0.03 0.37 0.35 0.31 0.03 1.09
pedestrian 2.65 5.38 5.37 5.28 2.55 21.23
truck 0.11 1.15 1.11 1.01 0.11 3.49
active_travel 3.20 7.09 6.45 6.28 3.07 26.09
Total 9.00 427.68 418.52 369.77 9.40 1234.37

[1] “sao_paulo” [1] NA

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.12 0.11 0.11 0.13 0.12 0.59
car 1.98 1.92 2.24 1.72 1.93 9.79
cycle 0.45 0.05 0.41 0.39 0.47 1.77
motorcycle 5.11 4.98 4.88 4.40 9.32 28.69
other 0.02 0.02 0.02 0.01 0.02 0.09
pedestrian 4.71 4.50 4.71 4.62 5.12 23.66
truck 0.18 0.17 0.18 0.17 0.18 0.88
active_travel 5.17 4.55 5.12 5.01 5.59 25.44
Total 17.74 16.30 17.67 16.45 22.75 90.91

[1] “ub”

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.18 0.17 0.17 0.20 0.18 0.90
car 2.20 2.13 2.48 1.90 2.15 10.86
cycle 0.56 0.07 0.50 0.49 0.58 2.20
motorcycle 5.54 5.39 5.29 4.77 10.09 31.08
other 0.04 0.03 0.04 0.03 0.03 0.17
pedestrian 5.09 4.86 5.08 4.99 5.55 25.57
truck 0.25 0.24 0.25 0.24 0.26 1.24
active_travel 5.65 4.93 5.58 5.47 6.13 27.76
Total 19.51 17.82 19.39 18.09 24.97 99.78

[1] “lb”

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.07 0.07 0.09 0.08 0.39
car 1.80 1.74 2.03 1.55 1.75 8.87
cycle 0.37 0.04 0.33 0.32 0.38 1.44
motorcycle 4.72 4.61 4.51 4.06 8.62 26.52
other 0.01 0.01 0.01 0.01 0.01 0.05
pedestrian 4.38 4.18 4.38 4.29 4.73 21.96
truck 0.13 0.13 0.13 0.13 0.13 0.65
active_travel 4.75 4.22 4.71 4.61 5.11 23.40
Total 16.24 15.00 16.17 15.06 20.81 83.28

[1] “temuco_padrelascasas” [1] NA

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 3.08 3.00 3.32 2.64 2.90 14.94
cycle 0.79 0.88 0.77 0.71 0.74 3.89
motorcycle 0.70 0.68 0.67 34.27 2.28 38.60
pedestrian 3.17 3.00 3.20 3.15 2.98 15.50
truck 0.18 0.18 0.18 0.18 0.18 0.90
active_travel 3.97 3.87 3.97 3.86 3.72 19.39
Total 11.89 11.61 12.11 44.81 12.80 93.22

[1] “ub”

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 9.98 9.72 10.74 8.58 9.38 48.40
cycle 2.57 2.92 2.49 2.32 2.41 12.71
motorcycle 2.92 2.82 2.78 156.51 9.78 174.81
pedestrian 9.99 9.45 9.97 10.03 9.41 48.85
truck 1.04 1.04 1.04 1.04 1.04 5.20
active_travel 12.56 12.37 12.46 12.36 11.82 61.57
Total 39.06 38.32 39.48 190.84 43.84 351.54

[1] “lb”

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 1.01 0.98 1.08 0.86 0.95 4.88
cycle 0.26 0.28 0.25 0.23 0.24 1.26
motorcycle 0.18 0.17 0.17 7.75 0.56 8.83
pedestrian 1.12 1.06 1.14 1.10 1.05 5.47
truck 0.03 0.03 0.03 0.03 0.03 0.15
active_travel 1.38 1.34 1.39 1.33 1.29 6.73
Total 3.98 3.86 4.06 11.30 4.12 27.32

[1] “valdivia” [1] NA

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.35 0.34 0.31 0.42 0.32 1.74
car 2.61 2.54 2.70 2.33 2.46 12.64
cycle 0.77 1.05 0.73 0.74 0.73 4.02
motorcycle 0.55 0.51 0.53 0.54 1.67 3.80
pedestrian 1.79 1.72 1.68 1.92 1.72 8.83
active_travel 2.56 2.77 2.41 2.66 2.45 12.85
Total 8.63 8.93 8.36 8.61 9.35 43.88

[1] “ub”

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.76 2.65 2.39 3.43 2.53 13.76
car 15.64 15.20 16.08 13.97 14.70 75.59
cycle 5.92 8.92 5.55 5.64 5.59 31.62
motorcycle 5.05 4.62 4.86 4.88 16.41 35.82
pedestrian 9.21 8.84 8.68 9.86 8.81 45.40
active_travel 15.13 17.76 14.22 15.50 14.40 77.01
Total 53.71 57.99 51.78 53.28 62.44 279.20

[1] “lb”

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.06 0.05 0.05 0.06 0.05 0.27
car 0.49 0.48 0.51 0.44 0.46 2.38
cycle 0.12 0.15 0.11 0.11 0.11 0.60
motorcycle 0.07 0.07 0.07 0.07 0.21 0.49
pedestrian 0.37 0.36 0.35 0.40 0.36 1.84
active_travel 0.49 0.51 0.46 0.51 0.47 2.44
Total 1.60 1.62 1.55 1.59 1.66 8.02

[1] “accra” [1] NA

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.90 0.88 0.85 0.96 0.75 4.34
car 1.95 1.89 2.17 1.50 1.56 9.07
cycle 0.72 0.00 0.68 0.52 0.60 2.52
motorcycle 2.02 2.00 1.81 1.41 0.08 7.32
pedestrian 9.84 9.34 10.06 8.86 8.71 46.81
truck 0.43 0.43 0.43 0.42 0.41 2.12
active_travel 10.56 9.34 10.74 9.38 9.31 49.33
Total 26.42 23.88 26.74 23.05 21.42 121.51

[1] “ub”

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.31 1.28 1.23 1.39 1.08 6.29
car 2.56 2.46 2.84 1.97 2.03 11.86
cycle 0.97 0.00 0.93 0.71 0.81 3.42
motorcycle 2.66 2.59 2.37 1.85 0.12 9.59
pedestrian 11.33 10.73 11.53 10.22 9.97 53.78
truck 0.71 0.71 0.71 0.69 0.64 3.46
active_travel 12.31 10.73 12.45 10.93 10.78 57.20
Total 31.85 28.50 32.06 27.76 25.43 145.60

[1] “lb”

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.63 0.61 0.59 0.67 0.53 3.03
car 1.50 1.45 1.67 1.16 1.21 6.99
cycle 0.53 0.00 0.51 0.38 0.45 1.87
motorcycle 1.56 1.55 1.40 1.09 0.06 5.66
pedestrian 8.67 8.23 8.89 7.78 7.71 41.28
truck 0.27 0.27 0.27 0.27 0.26 1.34
active_travel 9.20 8.23 9.40 8.17 8.16 43.16
Total 22.36 20.34 22.73 19.52 18.38 103.33

[1] “bangalore” [1] NA

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.25 0.24 0.24 0.29 0.22 1.24
car 0.51 0.50 0.75 0.48 0.45 2.69
cycle 0.39 0.56 0.43 0.37 0.35 2.10
motorcycle 6.14 6.02 6.24 5.73 6.36 30.49
other 0.25 0.23 0.24 0.22 0.21 1.15
pedestrian 6.06 5.82 6.86 6.15 5.62 30.51
truck 0.20 0.20 0.20 0.20 0.20 1.00
active_travel 6.45 6.38 7.29 6.52 5.97 32.61
Total 20.25 19.95 22.25 19.96 19.38 101.79

[1] “ub”

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.56 0.54 0.54 0.65 0.49 2.78
car 0.91 0.90 1.35 0.85 0.81 4.82
cycle 0.64 0.91 0.70 0.61 0.57 3.43
motorcycle 7.54 7.42 7.67 7.04 7.80 37.47
other 0.56 0.54 0.55 0.49 0.49 2.63
pedestrian 7.51 7.28 8.45 7.63 6.96 37.83
truck 0.39 0.39 0.39 0.39 0.39 1.95
active_travel 8.15 8.20 9.16 8.24 7.54 41.29
Total 26.26 26.18 28.81 25.90 25.05 132.20

[1] “lb”

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.11 0.11 0.11 0.13 0.10 0.56
car 0.29 0.28 0.42 0.27 0.26 1.52
cycle 0.24 0.34 0.27 0.23 0.22 1.30
motorcycle 5.05 4.94 5.13 4.71 5.23 25.06
other 0.12 0.11 0.12 0.10 0.10 0.55
pedestrian 4.96 4.76 5.63 5.03 4.60 24.98
truck 0.11 0.11 0.11 0.11 0.11 0.55
active_travel 5.20 5.10 5.90 5.26 4.81 26.27
Total 16.08 15.75 17.69 15.84 15.43 80.79

[1] “cape_town” [1] NA

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.76 0.74 0.73 0.82 0.68 3.73
car 7.03 6.85 7.56 6.25 6.55 34.24
cycle 0.29 0.00 0.25 0.26 0.26 1.06
motorcycle 1.78 1.72 1.50 1.68 0.06 6.74
other 0.08 0.07 0.06 0.07 0.07 0.35
pedestrian 12.39 11.95 12.49 11.70 11.60 60.13
truck 0.23 0.23 0.24 0.23 0.22 1.15
active_travel 12.68 11.95 12.74 11.96 11.86 61.19
Total 35.24 33.51 35.57 32.97 31.30 168.59

[1] “ub”

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.03 0.99 0.98 1.11 0.91 5.02
car 7.88 7.65 8.44 7.01 7.29 38.27
cycle 0.40 0.00 0.34 0.37 0.36 1.47
motorcycle 2.17 2.09 1.82 2.04 0.10 8.22
other 0.15 0.14 0.12 0.14 0.13 0.68
pedestrian 13.32 12.85 13.40 12.61 12.46 64.64
truck 0.39 0.38 0.39 0.38 0.36 1.90
active_travel 13.72 12.85 13.75 12.98 12.82 66.12
Total 39.06 36.95 39.24 36.64 34.43 186.32

[1] “lb”

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.57 0.55 0.55 0.61 0.51 2.79
car 6.32 6.17 6.82 5.61 5.91 30.83
cycle 0.21 0.00 0.18 0.19 0.19 0.77
motorcycle 1.48 1.44 1.26 1.39 0.03 5.60
other 0.04 0.04 0.03 0.04 0.04 0.19
pedestrian 11.55 11.14 11.67 10.88 10.82 56.06
truck 0.16 0.15 0.16 0.15 0.14 0.76
active_travel 11.76 11.14 11.85 11.07 11.01 56.83
Total 32.09 30.63 32.52 29.94 28.65 153.83

[1] “delhi” [1] NA

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.06 0.06 0.06 0.07 0.06 0.31
car 1.05 1.03 1.17 0.96 0.96 5.17
cycle 0.86 1.10 0.85 0.79 0.82 4.42
motorcycle 6.43 6.24 6.31 5.77 7.41 32.16
pedestrian 7.37 7.12 7.42 7.19 7.01 36.11
truck 0.42 0.42 0.43 0.42 0.42 2.11
active_travel 8.23 8.22 8.27 7.98 7.83 40.53
Total 24.42 24.19 24.51 23.18 24.51 120.81

[1] “ub”

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.12 0.12 0.15 0.11 0.63
car 1.24 1.22 1.39 1.14 1.14 6.13
cycle 1.00 1.27 0.98 0.92 0.94 5.11
motorcycle 6.96 6.75 6.83 6.25 8.03 34.82
pedestrian 7.96 7.69 8.01 7.77 7.58 39.01
truck 0.55 0.55 0.56 0.54 0.55 2.75
active_travel 8.95 8.96 8.99 8.68 8.53 44.11
Total 26.79 26.56 26.88 25.45 26.88 132.56

[1] “lb”

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.03 0.03 0.03 0.04 0.03 0.16
car 0.88 0.87 0.99 0.81 0.81 4.36
cycle 0.75 0.95 0.74 0.68 0.70 3.82
motorcycle 5.93 5.76 5.83 5.33 6.84 29.69
pedestrian 6.84 6.61 6.90 6.67 6.50 33.52
truck 0.32 0.32 0.33 0.32 0.32 1.61
active_travel 7.58 7.56 7.63 7.35 7.20 37.32
Total 22.33 22.10 22.45 21.20 22.40 110.48

[1] “vizag” [1] NA

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.24 0.30 0.23 1.28
car 0.63 0.60 1.70 0.50 0.55 3.98
cycle 1.24 1.73 1.68 1.01 1.26 6.92
motorcycle 9.15 8.88 9.31 7.43 11.83 46.60
other 0.16 0.15 0.16 0.11 0.10 0.68
pedestrian 9.06 8.57 12.40 8.21 9.45 47.69
truck 0.56 0.56 0.59 0.55 0.56 2.82
active_travel 10.30 10.30 14.07 9.21 10.71 54.59
Total 31.36 31.04 40.15 27.32 34.69 164.56

[1] “ub”

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.59 0.57 0.56 0.67 0.53 2.92
car 1.05 1.01 2.82 0.84 0.93 6.65
cycle 1.66 2.32 2.24 1.35 1.69 9.26
motorcycle 10.61 10.30 10.86 8.62 13.72 54.11
other 0.33 0.32 0.32 0.22 0.22 1.41
pedestrian 10.85 10.26 14.78 9.86 11.27 57.02
truck 0.94 0.94 1.03 0.92 0.95 4.78
active_travel 12.51 12.58 17.03 11.21 12.97 66.30
Total 38.54 38.30 49.64 33.69 42.28 202.45

[1] “lb”

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.14 0.13 0.13 0.16 0.12 0.68
car 0.38 0.36 1.02 0.30 0.33 2.39
cycle 0.92 1.29 1.25 0.75 0.94 5.15
motorcycle 7.89 7.66 7.99 6.42 10.21 40.17
other 0.08 0.07 0.07 0.05 0.05 0.32
pedestrian 7.65 7.23 10.48 6.91 8.00 40.27
truck 0.35 0.35 0.36 0.34 0.35 1.75
active_travel 8.57 8.52 11.73 7.66 8.94 45.42
Total 25.98 25.61 33.03 22.59 28.94 136.15

[1] “kisumu” [1] NA

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 3.28 3.16 3.25 3.63 2.83 16.15
car 0.86 0.83 1.17 0.73 0.77 4.36
cycle 0.69 0.94 0.73 0.65 0.64 3.65
motorcycle 13.12 12.52 13.10 11.41 14.45 64.60
other 1.21 1.19 0.75 0.70 0.91 4.76
pedestrian 6.56 6.28 6.98 6.33 6.06 32.21
truck 0.17 0.17 0.17 0.17 0.17 0.85
active_travel 7.25 7.22 7.71 6.98 6.70 35.86
Total 33.14 32.31 33.86 30.60 32.53 162.44

[1] “ub”

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 6.80 6.54 6.61 7.64 5.84 33.43
car 3.28 3.16 4.57 2.70 2.90 16.61
cycle 2.02 2.75 2.12 1.89 1.88 10.66
motorcycle 18.76 17.87 18.71 16.34 20.56 92.24
other 2.80 2.76 1.72 1.62 2.11 11.01
pedestrian 10.65 10.16 11.22 10.25 9.90 52.18
truck 1.28 1.28 1.28 1.28 1.28 6.40
active_travel 12.66 12.91 13.34 12.14 11.77 62.82
Total 58.25 57.43 59.57 53.86 56.24 285.35

[1] “lb”

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.84 1.77 1.83 2.03 1.58 9.05
car 0.27 0.26 0.35 0.23 0.24 1.35
cycle 0.24 0.33 0.26 0.23 0.22 1.28
motorcycle 9.48 9.06 9.45 8.23 10.48 46.70
other 0.53 0.53 0.33 0.31 0.40 2.10
pedestrian 4.20 4.02 4.48 4.05 3.86 20.61
truck 0.02 0.02 0.02 0.02 0.02 0.10
active_travel 4.44 4.35 4.74 4.28 4.08 21.89
Total 21.02 20.34 21.46 19.38 20.88 103.08

[1] “nairobi” [1] NA

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.03 1.01 1.00 1.07 0.99 5.10
car 2.12 2.09 2.33 1.90 2.04 10.48
cycle 0.30 0.00 0.30 0.25 0.28 1.13
motorcycle 4.88 4.77 4.72 4.45 6.57 25.39
other 0.27 0.27 0.25 0.22 0.25 1.26
pedestrian 13.85 13.32 14.02 13.17 13.22 67.58
truck 0.15 0.15 0.15 0.15 0.15 0.75
active_travel 14.16 13.32 14.31 13.41 13.50 68.70
Total 36.76 34.93 37.08 34.62 37.00 180.39

[1] “ub”

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.70 1.65 1.64 1.76 1.63 8.38
car 3.05 2.98 3.35 2.73 2.93 15.04
cycle 0.58 0.00 0.57 0.47 0.53 2.15
motorcycle 6.24 6.01 6.02 5.67 8.41 32.35
other 0.55 0.53 0.50 0.45 0.51 2.54
pedestrian 16.36 15.69 16.51 15.55 15.72 79.83
truck 0.37 0.37 0.37 0.37 0.37 1.85
active_travel 16.94 15.69 17.07 16.02 16.26 81.98
Total 45.79 42.92 46.03 43.02 46.36 224.12

[1] “lb”

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.64 0.63 0.62 0.66 0.62 3.17
car 1.50 1.49 1.65 1.35 1.45 7.44
cycle 0.16 0.00 0.15 0.13 0.15 0.59
motorcycle 3.97 3.89 3.84 3.63 5.34 20.67
other 0.14 0.14 0.13 0.11 0.13 0.65
pedestrian 11.83 11.38 11.99 11.24 11.23 57.67
truck 0.06 0.06 0.06 0.06 0.06 0.30
active_travel 11.99 11.38 12.15 11.37 11.38 58.27
Total 30.29 28.97 30.59 28.55 30.36 148.76

[1] “port_louis” [1] NA

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.89 0.84 0.82 0.93 0.88 4.36
cycle 2.08 9.94 101.47 93.20 98.88 305.57
motorcycle 17.21 15.90 15.89 15.08 21.84 85.92
pedestrian 11.27 10.46 11.05 10.66 11.54 54.98
truck 1.48 1.46 1.49 1.44 1.51 7.38
active_travel 13.35 20.39 112.51 103.86 110.42 360.53
Total 46.28 58.99 243.23 225.17 245.07 818.74

[1] “ub”

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 3.10 2.93 2.86 3.25 3.07 15.21
cycle 6.46 28.29 439.35 403.75 428.80 1306.65
motorcycle 29.35 27.11 27.09 25.77 37.17 146.49
pedestrian 20.12 18.69 19.68 19.14 20.51 98.14
truck 5.57 5.48 5.59 5.40 5.70 27.74
active_travel 26.58 46.98 459.03 422.88 449.31 1404.78
Total 91.18 129.48 953.60 880.19 944.56 2999.01

[1] “lb”

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.24 0.24 0.27 0.26 1.27
cycle 0.71 3.63 23.91 22.00 23.23 73.48
motorcycle 10.21 9.45 9.43 8.94 12.99 51.02
pedestrian 6.36 5.89 6.24 5.98 6.54 31.01
truck 0.40 0.40 0.40 0.39 0.41 2.00
active_travel 7.07 9.52 30.16 27.98 29.77 104.50
Total 25.01 29.13 70.38 65.56 73.20 263.28

True distances in a single file

Change in deaths due to injury per 100 million hours

[1] NA

antofagasta mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 14.9022 4.1234694 15.1028 3.909975 16.0252 4.2164530 13.2423 3.9029482 14.3910 3.8480993
car 18.0977 9.6214286 18.2512 9.388470 16.7968 10.2214195 19.0780 8.5801892 18.5578 9.0711287
cycle 44.6070 0.2290816 0.0379 0.003735 46.6583 0.2208829 41.0389 0.1905355 42.2740 0.2109284
motorcycle 64.7751 2.2908163 65.4757 2.164581 67.8395 2.1968500 64.9563 2.1821991 67.8719 8.5163475
truck 9.2946 2.2908163 9.2777 2.286656 9.3272 2.2988720 9.2359 2.2763516 9.2559 2.2812950
bus 2.5208 1.3744898 2.5324 1.333963 2.5974 1.2398147 2.4343 1.5781475 2.5824 1.2910280
active_travel 15.4434 4.3525510 10.9465 3.913710 16.5666 4.4373359 13.6734 4.0934838 14.9018 4.0590277

[1] “ub”

antofagasta ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 27.8233 7.698800 28.2246 7.307078 29.5598 7.777607 25.2584 7.444499 26.9185 7.197874
car 42.8274 22.768649 43.1488 22.195805 39.8233 24.233849 45.1638 20.312040 43.8365 21.427465
cycle 345.8196 1.775974 0.2936 0.028965 360.2354 1.705372 320.5042 1.488037 327.9387 1.636267
motorcycle 207.0193 7.321384 209.3494 6.920944 216.1251 6.998792 208.1703 6.993452 226.0154 28.359676
truck 32.2501 7.948643 32.1209 7.916794 32.4774 8.004657 31.8362 7.846623 31.9536 7.875554
bus 8.3418 4.548449 8.3870 4.417903 8.5979 4.104054 8.0544 5.221698 8.5417 4.270219
active_travel 33.6178 9.474774 20.5186 7.336043 35.4043 9.482979 29.8371 8.932535 32.4326 8.834141

[1] “lb”

antofagasta lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 8.4589 2.3405993 8.5678 2.2181357 9.1634 2.4110188 7.4173 2.1861343 8.1596 2.1818412
car 8.0404 4.2745781 8.1166 4.1751983 7.4520 4.5347867 8.4843 3.8157648 8.2619 4.0384641
cycle 5.8051 0.0298126 0.0049 0.0004859 6.0926 0.0288428 5.3084 0.0246459 5.4987 0.0274360
motorcycle 20.5453 0.7265997 20.7612 0.6863514 21.5843 0.6989663 20.5444 0.6901878 20.8100 2.6111725
truck 2.9362 0.7236826 2.9340 0.7231354 2.9408 0.7248199 2.9280 0.7216601 2.9311 0.7224328
bus 0.7789 0.4247152 0.7819 0.4118475 0.8022 0.3829101 0.7515 0.4872185 0.7984 0.3991509
active_travel 8.4105 2.3704119 6.2054 2.2186216 9.1091 2.4398615 7.3846 2.2107801 8.1109 2.2092772

[1] NA

arica mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 39.5411 9.6214286 39.4621 9.1181045 41.5274 9.6030322 36.4776 9.3136471 37.6291 8.9336873
car 32.9255 9.3923469 33.4607 9.0412055 28.8694 9.9031473 34.4634 8.2655611 33.7022 8.7064837
cycle 27.8571 0.6872449 12.0233 1.1432083 29.8558 0.6806503 28.0049 0.6238351 27.5012 0.6225535
motorcycle 74.9652 2.0617347 76.4879 1.9633688 77.7190 1.9343575 74.5911 2.0082777 85.6482 7.7913484
truck 17.6724 2.5198980 17.6294 2.5137694 17.6961 2.5232705 17.6047 2.5102411 17.5824 2.5070598
bus 2.7888 0.4581633 2.8280 0.4404033 3.0590 0.3900987 2.4250 0.5819860 2.9160 0.4099939
active_travel 38.4655 10.3086735 31.4627 10.2613128 40.4800 10.2836824 35.7977 9.9374822 36.7475 9.5562408

[1] “ub”

arica ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 69.1065 16.815497 69.1173 15.970212 71.5709 16.550461 65.6103 16.751925 66.1156 15.696782
car 51.5782 14.713225 52.4381 14.168983 45.0632 15.458132 54.3849 13.043449 52.8145 13.643890
cycle 94.0594 2.320477 40.6183 3.862092 100.2798 2.286169 95.6232 2.130097 92.8917 2.102817
motorcycle 199.7142 5.492648 203.7736 5.230667 207.2187 5.157492 198.8562 5.353967 222.6314 20.252606
truck 42.4292 6.049946 42.1028 6.003411 42.5722 6.070340 41.9840 5.986462 41.7402 5.951701
bus 20.9304 3.438577 21.2225 3.304918 22.9784 2.930331 18.1719 4.361133 21.8827 3.076705
active_travel 71.4035 19.135974 60.8088 19.832304 74.1472 18.836631 68.0186 18.882021 68.4464 17.799599

[1] “lb”

arica lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 24.8979 6.0583274 24.8131 5.7332964 26.4117 6.1075995 22.4749 5.7384077 23.6412 5.6127534
car 21.5038 6.1341717 21.8428 5.9020108 18.8966 6.4821545 22.4016 5.3727095 21.9951 5.6821191
cycle 8.3053 0.2048943 3.5828 0.3406591 8.9425 0.2038695 8.2659 0.1841319 8.1957 0.1855293
motorcycle 28.4320 0.7819532 29.0069 0.7445777 29.4462 0.7328898 28.2836 0.7615035 33.2303 3.0229375
truck 8.7478 1.2473398 8.7421 1.2465308 8.7515 1.2478679 8.7377 1.2459086 8.7360 1.2456572
bus 0.3718 0.0610808 0.3771 0.0587192 0.4075 0.0519620 0.3238 0.0777046 0.3888 0.0546646
active_travel 23.3704 6.2632216 18.6236 6.0739555 24.8440 6.3114690 21.3347 5.9225396 22.2967 5.7982827

[1] NA

belo_horizonte mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 20.6943 94.0809950 20.9062 91.9001857 19.5562 103.4783061 21.6840 85.6481043 21.4620 90.6272053
pedestrian 50.6626 167.2877693 51.6744 161.9347157 52.2452 161.2734803 49.3992 171.3699067 53.6029 170.0871583
motorcycle 96.5781 131.2723884 97.2308 129.7533768 100.7679 123.1917509 102.6272 122.6432259 82.1336 164.5613637
cycle 108.3245 14.9941586 58.5689 44.1936286 114.8217 13.6144429 112.7722 14.1329233 112.8987 14.6923038
other 73.2054 51.7445473 73.6572 50.5435732 75.1779 46.7623267 75.6432 45.7802911 74.3443 49.1388963
truck 2.5416 7.2030762 2.5397 7.1975939 2.5340 7.1816784 2.5412 7.2020378 2.5661 7.2726352
bus 0.9644 5.1450544 0.9704 5.0621873 0.9974 4.7303817 0.9021 5.9611977 0.9975 4.9275109
rail 0.3140 0.1470016 0.3151 0.1449699 0.3210 0.1346731 0.3140 0.1470016 0.3189 0.1381436
active_travel 52.9825 182.2819279 53.0123 206.1283444 54.5600 174.8879232 51.6087 185.5028300 55.9390 184.7794621

[1] “ub”

belo_horizonte ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 23.5021 106.846028 23.8067 104.650205 22.1630 117.272052 24.6545 97.381014 24.4081 103.067746
pedestrian 56.7207 187.291506 58.2083 182.410239 58.4129 180.312289 55.2515 191.671984 60.0587 190.571837
motorcycle 109.6821 149.083823 111.0465 148.190325 114.3510 139.797409 116.5058 139.228692 93.2122 186.758400
cycle 147.7474 20.451036 79.5141 59.997966 156.6262 18.571212 153.8324 19.278701 154.0573 20.048573
other 84.3171 59.598771 84.8653 58.234565 86.6369 53.890033 87.2079 52.779407 85.7252 56.661284
truck 3.9326 11.145191 3.9336 11.148198 3.9186 11.105549 3.9315 11.142154 3.9756 11.267238
bus 1.6026 8.550326 1.6153 8.426598 1.6635 7.889554 1.4855 9.816414 1.6689 8.243606
rail 2.7250 1.275719 2.7345 1.258087 2.7853 1.168729 2.7250 1.275719 2.7677 1.198847
active_travel 60.3830 207.742542 62.3428 242.408205 62.0459 198.883502 58.6886 210.950685 63.7619 210.620410

[1] “lb”

belo_horizonte lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 18.2957 83.176765 18.4535 81.1184051 17.3214 91.6536833 19.1487 75.634052 18.9476 80.0097039
pedestrian 45.4736 150.153804 46.2099 144.8103030 46.9426 144.9050759 44.3752 153.941356 48.0586 152.4945879
motorcycle 85.4920 116.203748 85.7728 114.4628321 89.2462 109.1060721 90.8673 108.589694 72.7365 145.7336664
cycle 79.5026 11.004672 43.1718 32.5755998 84.2588 9.9905914 82.7550 10.371084 82.8185 10.7777597
other 64.1144 45.318685 64.5008 44.2604188 65.8179 40.9402088 66.2083 40.070178 65.0641 43.0050384
truck 1.6575 4.697555 1.6553 4.6913163 1.6534 4.6858978 1.6574 4.697258 1.6715 4.7371282
bus 0.5971 3.185770 0.6003 3.1315228 0.6158 2.9205928 0.5625 3.717311 0.6144 3.0349733
rail 0.0362 0.016939 0.0363 0.0167049 0.0370 0.0155184 0.0362 0.016939 0.0367 0.0159183
active_travel 46.8427 161.158476 45.6203 177.3859027 48.3230 154.8956673 45.7134 164.312439 49.4281 163.2723476

[1] NA

bogota mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 6.8238 20.707117 6.8736 20.310402 6.4176 22.947492 7.1704 18.359276 7.0697 19.931903
pedestrian 40.0776 166.992877 41.0922 161.479798 41.8320 162.653275 38.7015 165.234426 42.5220 167.439492
cycle 100.8657 63.011979 63.4604 72.784926 105.8248 60.974468 105.5671 57.601996 108.4860 62.552710
motorcycle 142.6302 195.270338 143.4242 192.865933 148.2239 190.181741 152.5183 173.978538 114.5253 219.933604
truck 0.7701 1.558600 0.7690 1.555071 0.7707 1.559888 0.7624 1.543094 0.7777 1.573941
bus 1.0396 7.347687 1.0453 7.212289 1.0644 6.956853 0.9800 8.189957 1.0675 7.055780
active_travel 48.0032 230.004856 46.1457 234.264724 50.0910 223.627743 46.2787 222.836422 50.9474 229.992202

[1] “ub”

bogota ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 10.6356 32.274048 10.7166 31.666089 9.9708 35.652957 11.1725 28.606508 11.0162 31.058234
pedestrian 49.9502 208.129551 51.2907 201.556662 52.0954 202.559684 48.2280 205.907275 53.0003 208.699914
cycle 129.4484 80.867885 82.6518 94.796285 135.6606 78.165332 135.3820 73.870265 139.0662 80.185162
motorcycle 180.5619 247.201359 181.8640 244.556866 187.3364 240.365937 192.9241 220.069662 146.2415 280.841030
truck 2.3813 4.819507 2.3771 4.806912 2.3839 4.824712 2.3493 4.754758 2.4132 4.883698
bus 1.8522 13.091200 1.8633 12.856539 1.8995 12.415052 1.7429 14.565036 1.9081 12.611020
active_travel 60.3152 288.997436 58.3759 296.352946 62.8804 280.725016 58.1042 279.777540 63.9932 288.885076

[1] “lb”

bogota lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 4.4242 13.425342 4.4553 13.1647020 4.1737 14.9240519 4.6494 11.9045272 4.5835 12.9225226
pedestrian 32.3196 134.667491 33.1005 130.0748810 33.7569 131.2550178 31.2171 133.2801341 34.2801 134.9851834
cycle 79.1585 49.451236 49.1815 56.4079277 83.1307 47.8985085 82.9019 45.2348500 85.2073 49.1302652
motorcycle 113.7042 155.668596 114.1912 153.5556194 118.3299 151.8256906 121.6593 138.7774734 90.6332 174.0512338
truck 0.2604 0.527085 0.2602 0.5260765 0.2606 0.5274028 0.2586 0.5233708 0.2623 0.5307418
bus 0.5949 4.204383 0.5979 4.1253161 0.6082 3.9750430 0.5616 4.6929375 0.6091 4.0259821
active_travel 38.4265 184.118727 36.7336 186.4828088 40.1291 179.1535263 37.0740 178.5149841 40.7848 184.1154486

[1] NA

buenos_aires mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 124.7651 251.388194 126.4145 241.930763 132.7805 250.539189 2405.8010 5.192712e+03 148.7793 284.792901
car 47.2257 85.488915 47.5529 83.344902 43.4694 99.887405 4405.9022 6.175988e+03 50.0498 83.327183
cycle 74.0978 15.235648 44.8708 24.568185 79.0695 14.920803 1261.6318 2.310445e+02 85.9394 16.665434
motorcycle 674.2159 207.374100 676.0054 203.979308 717.7927 200.003328 745968.9940 1.668258e+05 477.9648 333.222226
truck 2.5026 2.539275 2.5026 2.539275 2.5026 2.539275 2.5026 2.539275e+00 2.5026 2.539275
bus 1.1485 3.385700 1.1575 3.281770 1.1723 3.119455 1.0947 4.101711e+00 1.1678 3.167886
active_travel 120.0734 266.623843 108.2747 266.498948 127.8972 265.459992 2316.3159 5.423756e+03 142.9988 301.458335

[1] “ub”

buenos_aires ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 156.4148 315.158823 159.9790 306.166256 165.8930 313.018136 3065.6860 6.617016e+03 187.1936 358.325357
car 64.9130 117.506828 65.5011 114.802439 59.4429 136.592667 7514.7141 1.053378e+04 69.4697 115.659084
cycle 157.6950 32.424520 99.7033 54.590776 167.1786 31.547441 2387.9281 4.373047e+02 180.1910 34.942794
motorcycle 885.8008 272.453022 894.5261 269.916229 941.0170 262.201797 980822.9304 2.193477e+05 628.2826 438.019127
truck 9.0588 9.191765 9.0588 9.191765 9.0588 9.191765 9.0588 9.191765e+00 9.0588 9.191765
bus 3.4993 10.315435 3.5266 9.998786 3.5716 9.504250 3.3354 1.249695e+01 3.5579 9.651809
active_travel 156.5333 347.583343 146.5704 360.757033 166.0099 344.565577 3012.6788 7.054321e+03 186.5494 393.268152

[1] “lb”

buenos_aires lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 100.7854 203.0717030 101.7115 194.6544553 107.5389 202.9115899 1889.1771 4.077624e+03 119.5050 228.7560978
car 34.9546 63.2756382 35.1674 61.6370761 32.3077 74.2392689 2585.2119 3.623829e+03 36.7323 61.1550137
cycle 36.3900 7.4823368 21.2894 11.6566448 39.0336 7.3658425 668.7775 1.224742e+02 42.6468 8.2701055
motorcycle 519.6842 159.8435344 519.3661 156.7146400 554.1613 154.4096231 577116.9450 1.290643e+05 367.8967 256.4861396
truck 0.6913 0.7014883 0.6913 0.7014883 0.6913 0.7014883 0.6913 7.014883e-01 0.6913 0.7014883
bus 0.3770 1.1112437 0.3799 1.0771323 0.3848 1.0238577 0.3593 1.346251e+00 0.3833 1.0397537
active_travel 94.8225 210.5540398 83.8212 206.3111000 101.3106 210.2774324 1793.7300 4.200098e+03 112.4350 237.0262034

[1] NA

cali mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 67.8571 87.9495819 68.8041 84.7100550 71.1654 86.4824238 64.4596 85.0163179 70.9691 86.1742257
motorcycle 70.6241 153.3551254 71.3487 150.1169518 74.0176 149.7437519 74.4668 140.8303159 67.1996 160.2050256
cycle 102.3048 28.9454320 67.0055 37.9786780 110.0047 28.0785076 105.0945 26.5248226 107.4305 28.3938865
other 66.7710 0.2783216 66.2454 0.2567872 67.3299 0.2228988 65.1038 0.2036480 66.9637 0.2546832
car 8.3144 11.1328585 8.3408 10.9090439 7.4259 12.6067681 8.5681 10.2091365 8.5453 10.5248432
bus 0.1427 0.2783215 0.1432 0.2742914 0.1450 0.2613339 0.1321 0.3791763 0.1455 0.2576454
active_travel 74.0295 116.8950139 68.2371 122.6887330 77.9072 114.5609314 70.9866 111.5411406 77.4868 114.5681122

[1] “ub”

cali ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 80.7711 104.687502 82.2024 101.205724 84.6449 102.863107 76.9776 101.526450 84.3224 102.388439
motorcycle 84.2433 182.928232 85.3253 179.523537 88.0495 178.131407 88.8058 167.947981 80.0217 190.773152
cycle 135.4810 38.332108 89.9607 50.989668 145.3236 37.093577 139.4927 35.206582 141.9081 37.506332
other 498.0099 2.075855 494.3039 1.916070 501.8461 1.661387 485.4186 1.518414 499.2789 1.898908
car 13.0398 17.460225 13.0897 17.120295 11.5856 19.668524 13.4498 16.025846 13.4319 16.543505
bus 1.0543 2.056513 1.0582 2.026735 1.0711 1.930992 0.9759 2.801728 1.0749 1.903738
active_travel 90.5741 143.019610 84.6481 152.195392 95.1776 139.956684 87.0191 136.733032 94.6162 139.894771

[1] “lb”

cali lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 57.3902 74.3833984 58.0611 71.4834831 60.2027 73.1601363 54.3425 71.6728543 60.1103 72.9889091
motorcycle 60.1102 130.5250324 60.6171 127.5376527 63.0481 127.5514783 63.2829 119.6795073 57.2495 136.4839289
cycle 79.2647 22.4266311 51.5548 29.2212374 85.3254 21.7791412 81.2293 20.5014728 83.3765 22.0364192
other 8.9674 0.0373787 8.8927 0.0344708 9.0458 0.0299466 8.7437 0.0273509 8.9951 0.0342112
car 5.4038 7.2357022 5.4188 7.0872985 4.8460 8.2269466 5.5624 6.6277976 5.5420 6.8258109
bus 0.0193 0.0376671 0.0194 0.0371217 0.0196 0.0353680 0.0179 0.0513164 0.0197 0.0348689
active_travel 61.3097 96.8100295 56.0100 100.7047206 64.5635 94.9392775 58.6612 92.1743271 64.2693 95.0253283

[1] NA

copiapo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 100.3872 1.1454082 31.1757 2.3938207 104.4730 1.1081343 101.2143 1.1179017 113.3262 1.2496083
pedestrian 12.7943 2.5198980 12.8331 2.3998809 13.0384 2.4637420 12.1662 2.5724394 14.3882 2.7492122
car 14.1296 5.0397959 14.2037 4.8847684 12.6781 5.2300341 14.7459 4.4923459 14.5502 4.7000751
motorcycle 97.5116 2.5198980 99.9299 2.3925397 101.4089 2.3237236 98.6369 2.4931990 98.8171 9.1074228
truck 5.3253 0.9163265 5.2955 0.9111930 5.3104 0.9137501 5.3245 0.9161767 5.5320 0.9518925
bus 3.8709 0.6872449 3.9016 0.6658323 4.0123 0.5953498 3.5991 0.9195570 3.9551 0.6305341
active_travel 17.5909 3.6653061 18.1722 4.7937017 17.8981 3.5718762 16.5869 3.6903411 19.7863 3.9988205

[1] “ub”

copiapo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 321.3458 3.666524 99.6298 7.650046 329.6510 3.496576 329.6659 3.641127 453.4548 5.000087
pedestrian 33.0443 6.508202 33.0803 6.186281 33.0911 6.252910 32.1069 6.788716 48.1869 9.207265
car 26.3137 9.385677 26.4590 9.099445 23.4680 9.681117 27.8007 8.469462 28.4049 9.175517
motorcycle 260.3122 6.726995 266.5292 6.381288 270.1139 6.189497 264.4768 6.685059 264.4218 24.370290
truck 24.3141 4.183700 24.0366 4.135953 24.0950 4.146006 24.3790 4.194861 27.8931 4.799535
bus 12.2825 2.180678 12.3801 2.112734 12.7313 1.889088 11.4201 2.917821 12.5498 2.000731
active_travel 48.8315 10.174726 52.4516 13.836327 48.8531 9.749486 46.8787 10.429844 70.2984 14.207351

[1] “lb”

copiapo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 34.1573 0.3897312 10.6096 0.8146563 35.8965 0.3807508 33.8213 0.3735526 34.7560 0.3832427
pedestrian 5.5628 1.0956106 5.5800 1.0435015 5.7349 1.0836686 5.1724 1.0936584 5.5950 1.0690621
car 8.7969 3.1377064 8.8414 3.0406117 7.9019 3.2597319 9.1566 2.7895630 9.0085 2.9099777
motorcycle 37.0072 0.9563418 37.9587 0.9088146 38.5542 0.8834466 37.3245 0.9434344 37.3062 3.4383057
truck 1.4179 0.2439804 1.4145 0.2433903 1.4171 0.2438346 1.4167 0.2437692 1.4279 0.2456999
bus 1.2199 0.2165866 1.2296 0.2098383 1.2645 0.1876256 1.1343 0.2898001 1.2465 0.1987140
active_travel 7.1286 1.4853417 7.0440 1.8581578 7.3380 1.4644194 6.5946 1.4672110 7.1861 1.4523048

[1] NA

coquimbo_laserena mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 18.7582 8.0178571 18.9504 7.6137904 19.8819 8.0015409 17.2357 7.6800792 18.0783 7.3806204
car 20.5354 13.2867347 20.7332 12.9245394 18.6821 13.8270577 21.8675 12.0321844 21.2263 12.3711994
cycle 71.8376 1.3744898 0.0483 0.0053904 73.6604 1.2372965 67.5348 1.2243763 67.5080 1.2258616
motorcycle 141.0062 5.7270408 142.6737 5.6054900 147.9602 5.4277382 137.2960 5.1537762 135.0080 22.0099966
truck 3.1307 0.9163265 3.1307 0.9163265 3.1307 0.9163265 3.1307 0.9163265 3.1307 0.9163265
bus 2.8354 1.3744898 2.8474 1.3451147 2.9630 1.2588196 2.6075 1.6201329 2.8749 1.2910482
active_travel 21.0324 9.3923469 14.8403 7.6191808 22.0365 9.2388375 19.2022 8.9044556 20.1833 8.6064820

[1] “ub”

coquimbo_laserena ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 29.0271 12.407113 29.3511 11.7925580 30.5668 12.301757 27.0878 12.070040 28.0327 11.444563
car 30.3941 19.665442 30.6934 19.1334857 27.5797 20.412418 32.5542 17.912360 31.4302 18.318235
cycle 171.2329 3.276250 0.1152 0.0128552 174.9369 2.938467 162.3955 2.944157 161.0977 2.925333
motorcycle 270.4004 10.982453 273.6123 10.7499173 283.2450 10.390498 263.8221 9.903275 262.0843 42.726917
truck 8.5100 2.490834 8.5100 2.4908337 8.5100 2.490834 8.5100 2.490834 8.5100 2.490834
bus 9.2003 4.459971 9.2364 4.3633351 9.6689 4.107806 8.3655 5.197828 9.3242 4.187279
active_travel 35.1200 15.683363 22.9940 11.8054132 36.3510 15.240224 32.3777 15.014196 33.6992 14.369896

[1] “lb”

coquimbo_laserena lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 12.4049 5.3022373 12.5230 5.0314542 13.2124 5.3173880 11.2631 5.0187371 11.9359 4.8729367
car 14.1166 9.1336697 14.2489 8.8824062 12.8657 9.5221907 14.9706 8.2372957 14.5831 8.4993364
cycle 30.3821 0.5813097 0.0204 0.0022788 31.2493 0.5249044 28.3492 0.5139581 28.5226 0.5179341
motorcycle 73.8542 2.9996249 74.7229 2.9357790 77.6203 2.8474071 71.7869 2.6947160 69.8251 11.3834069
truck 1.1517 0.3370977 1.1517 0.3370977 1.1517 0.3370977 1.1517 0.3370977 1.1517 0.3370977
bus 0.9153 0.4436996 0.9194 0.4343303 0.9518 0.4043767 0.8499 0.5280656 0.9284 0.4169307
active_travel 13.1751 5.8835470 9.8045 5.0337330 13.9350 5.8422924 11.9311 5.5326953 12.6423 5.3908708

[1] NA

gran_valparaiso mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 10.1909 14.6612245 10.1672 14.0966491 9.2142 15.6334538 10.9972 13.0281049 10.2639 13.5220906
pedestrian 18.4212 18.5556122 18.4498 17.6195310 19.5779 18.5239282 17.1993 18.4041246 17.7538 17.1938581
cycle 12.5236 0.4581633 0.0061 0.0015311 12.8696 0.4293427 12.0818 0.3768003 11.8054 0.3981481
other 29.4981 0.2290816 28.6090 0.2164857 29.5648 0.2060929 28.7695 0.2165977 27.9197 0.1983279
motorcycle 221.0877 5.9561224 216.9689 5.7042785 221.9272 4.9215843 218.3710 4.4621407 6.1095 1.3932996
truck 2.7677 2.7489796 2.7677 2.7489796 2.7677 2.7489796 2.7677 2.7489796 2.7677 2.7489796
bus 0.2237 0.4581633 0.2232 0.4386058 0.2363 0.4236069 0.2023 0.5130738 0.2232 0.4223606
active_travel 18.2145 19.0137755 14.6247 17.6210621 19.3494 18.9532709 17.0544 18.7809250 17.5536 17.5920062

[1] “ub”

gran_valparaiso ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 16.7004 24.026290 16.1210 22.3513488 14.8401 25.178785 17.8660 21.165486 16.0581 21.155528
pedestrian 27.2334 27.432097 27.1246 25.9038946 28.6493 27.107021 25.6002 27.393420 26.0932 25.270246
cycle 52.8549 1.933640 0.0259 0.0064624 54.1938 1.807961 51.0304 1.591507 49.6475 1.674413
other 238.0693 1.848842 226.8532 1.7166116 236.7719 1.650512 230.4694 1.735143 219.7595 1.561063
motorcycle 433.6727 11.683180 412.9766 10.8574713 432.7169 9.596178 426.7662 8.720436 11.5276 2.628901
truck 4.9302 4.896791 4.9302 4.8967908 4.9302 4.896791 4.9302 4.896791 4.9302 4.896791
bus 1.7402 3.563515 1.7160 3.3719459 1.8305 3.281090 1.5630 3.965047 1.7079 3.231345
active_travel 28.1313 29.365738 21.5045 25.9103570 29.5193 28.914982 26.3204 28.984927 26.8858 26.944659

[1] “lb”

gran_valparaiso lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 6.8269 9.8215939 6.8612 9.5128756 6.2170 10.5481079 7.3522 8.7099719 6.9487 9.1545294
pedestrian 13.3430 13.4403795 13.3760 12.7740595 14.2605 13.4928114 12.3671 13.2333844 12.8677 12.4618356
cycle 2.9805 0.1090379 0.0015 0.0003644 3.0675 0.1023358 2.8713 0.0895495 2.8127 0.0948618
other 3.7515 0.0291344 3.6697 0.0277691 3.7768 0.0263274 3.6716 0.0276422 3.5944 0.0255331
motorcycle 116.8176 3.1470764 115.4963 3.0364868 117.6008 2.6079821 115.4166 2.3583956 3.2450 0.7400223
truck 1.5538 1.5432329 1.5538 1.5432329 1.5538 1.5432329 1.5538 1.5432329 1.5538 1.5432329
bus 0.0293 0.0599443 0.0294 0.0576994 0.0310 0.0555364 0.0266 0.0673613 0.0294 0.0556949
active_travel 12.9798 13.5494174 10.6022 12.7744239 13.8793 13.5951472 12.0982 13.3229338 12.5293 12.5566974

[1] NA

iquique_altohospicio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 13.2054 3.6653061 13.2017 3.4699659 13.6120 3.6014948 12.3241 3.6749283 14.3295 3.8482684
car 14.7093 7.1015306 14.6517 6.8092243 13.3352 7.3732555 15.3236 6.4170183 15.3227 6.6912833
cycle 108.1483 0.6872449 0.1061 0.0097963 108.7699 0.5867811 105.0103 0.6366409 115.3591 0.7124349
motorcycle 78.6938 2.5198980 78.2970 2.3703008 81.5461 2.3205843 78.9728 2.4034420 88.0291 10.4571972
truck 5.0388 1.1454082 5.0388 1.1454082 5.0388 1.1454082 5.0388 1.1454082 5.0388 1.1454082
bus 2.4620 0.6872449 2.3490 0.6329962 2.6538 0.6292849 2.1098 0.7751428 2.7006 0.6830167
active_travel 15.3305 4.3525510 9.7970 3.4797621 15.5135 4.1882759 14.1710 4.3115692 16.6006 4.5607033

[1] “ub”

iquique_altohospicio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 30.9489 8.590200 30.4558 8.0050495 31.2296 8.262779 29.3960 8.765599 42.3354 11.369420
car 26.3145 12.704425 25.1398 11.6834228 23.5687 13.031563 27.5838 11.551149 28.8789 12.611186
cycle 411.9412 2.617742 0.4041 0.0373146 409.8006 2.210752 404.5943 2.452914 519.9079 3.210847
motorcycle 211.2396 6.764220 199.0919 6.0271466 217.4494 6.188024 212.0888 6.454667 224.7793 26.702109
truck 12.3247 2.801593 12.3247 2.8015931 12.3247 2.801593 12.3247 2.801593 12.3247 2.801593
bus 10.0198 2.796899 8.7961 2.3703509 10.6359 2.522008 8.5504 3.141399 11.9405 3.019863
active_travel 39.4764 11.207942 22.6426 8.0423641 38.7942 10.473531 36.8723 11.218513 53.0709 14.580267

[1] “lb”

iquique_altohospicio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 6.4248 1.7832742 6.4471 1.6945656 6.7045 1.7738814 5.8866 1.7553385 6.3764 1.7124249
car 9.1577 4.4212409 9.2011 4.2761196 8.3326 4.6072240 9.5043 3.9800732 9.4298 4.1179233
cycle 29.9752 0.1904820 0.0294 0.0027141 30.3755 0.1638664 28.7676 0.1744078 29.6069 0.1828465
motorcycle 31.1178 0.9964402 31.4899 0.9532998 32.2819 0.9186558 31.2014 0.9495758 36.0746 4.2853948
truck 2.0601 0.4682906 2.0601 0.4682906 2.0601 0.4682906 2.0601 0.4682906 2.0601 0.4682906
bus 0.6643 0.1854275 0.6570 0.1770481 0.7206 0.1708647 0.5710 0.2097934 0.7023 0.1776309
active_travel 6.9519 1.9737562 4.7785 1.6972797 7.1775 1.9377479 6.3426 1.9297463 6.8986 1.8952714

[1] NA

medellin mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 60.1019 75.1467947 61.1339 71.8034933 65.1580 76.9851469 57.6988 75.5176762 62.9850 74.4272959
cycle 203.4152 10.0195726 4.1899 1.0357685 210.5299 9.1674182 201.2712 8.1317271 205.6452 9.3915693
motorcycle 101.4250 125.8013007 100.8036 123.1633615 106.6076 123.0500148 106.2704 116.9111908 95.4015 136.9000480
car 6.8183 4.4531434 6.8517 4.3416586 5.8136 5.6550083 7.1250 3.9577588 6.9629 4.2176592
auto_rickshaw 195.5191 0.1855476 192.0037 0.1822115 200.5883 0.1537509 193.8470 0.1344329 196.4081 0.1792224
truck 1.7258 0.7421906 1.7258 0.7421906 1.7258 0.7421906 1.7258 0.7421906 1.7258 0.7421906
bus 2.2042 2.7832146 2.2172 2.7033595 2.2551 2.6428981 2.0373 3.5134829 2.2512 2.6201729
active_travel 65.5337 85.1663673 51.2326 72.8392618 70.3253 86.1525651 61.9980 83.6494032 68.2933 83.8188652

[1] “ub”

medellin ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 70.4360 88.067809 71.5784 84.070867 76.3059 90.156527 67.7069 88.6165922 73.7739 87.176231
cycle 302.0168 14.876366 6.7979 1.680507 312.0685 13.588866 299.1020 12.0842748 305.1414 13.935439
motorcycle 117.2555 145.436475 115.6526 141.306105 123.2216 142.226426 122.8236 135.1218993 110.1278 158.032145
car 12.0209 7.851002 12.0524 7.637168 10.1456 9.868817 12.6273 7.0141447 12.3197 7.462440
auto_rickshaw 1454.5024 1.380323 1425.6138 1.352907 1491.7111 1.143396 1441.6177 0.9997619 1460.9411 1.333109
truck Inf Inf Inf Inf Inf Inf Inf Inf Inf Inf
bus 4.5472 5.741698 4.5649 5.565852 4.6885 5.494822 4.1319 7.1259024 4.6666 5.431337
active_travel 79.2134 102.944176 60.3145 85.751374 84.6861 103.745394 74.6359 100.7008671 82.3830 101.111670

[1] “lb”

medellin lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 51.3250 64.1728170 52.2296 61.3450883 55.6779 65.7841688 49.2055 64.4014289 53.8141 63.5903675
cycle 137.5424 6.7748926 2.5828 0.6384904 142.5781 6.2084909 135.9684 5.4933755 139.1336 6.3540660
motorcycle 88.1473 109.3324032 87.9275 107.4311328 92.6212 106.9064632 92.3226 101.5668276 83.0095 119.1177119
car 4.0456 2.6422375 4.0697 2.5787996 3.4733 3.3785936 4.2119 2.3396171 4.1210 2.4962482
auto_rickshaw 26.2909 0.0249500 25.8594 0.0245406 26.9804 0.0206805 26.0727 0.0180814 26.4129 0.0241018
truck 0.6349 0.2730367 0.6349 0.2730367 0.6349 0.2730367 0.6349 0.2730367 0.6349 0.2730367
bus 1.1678 1.4745637 1.1756 1.4333513 1.1897 1.3942577 1.0891 1.8782950 1.1896 1.3845602
active_travel 54.5928 70.9477097 43.5971 61.9835787 58.7667 71.9926597 51.8036 69.8948044 56.9888 69.9444335

[1] NA

mexico_city mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 75.5810 502.387887 76.0867 479.472710 78.7424 491.341023 71.5748 499.557652 62.8530 398.919402
cycle 121.7899 32.285115 1.0441 1.499543 122.4573 29.416389 119.0692 28.212218 102.6271 25.419615
car 35.9935 288.203709 35.8747 280.530502 33.3276 311.692454 36.7684 247.142843 30.1849 228.040887
motorcycle 178.1959 102.367438 171.5665 96.441212 178.6445 93.814160 177.6689 84.875480 1.9534 3.653907
other 1396.2134 48.821393 1355.0313 45.551409 1324.5978 43.643576 1250.8786 37.689910 537.7981 18.127962
truck 2.0243 9.449302 2.0243 9.449302 2.0243 9.449302 2.0243 9.449302 2.0243 9.449302
bus 0.9930 11.024186 0.9974 10.737683 1.0078 10.268095 0.9447 12.656547 0.9553 9.962248
active_travel 77.3532 534.673002 62.1586 480.972253 80.3630 520.757411 73.1342 527.769871 64.3469 424.339017

[1] “ub”

mexico_city ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 89.0699 592.04833 89.3919 563.317654 92.6043 577.83683 84.3167 588.49001 73.6151 467.225051
cycle 202.3824 53.64926 2.4590 3.531527 203.2683 48.82860 198.2702 46.97810 173.0597 42.864972
car 42.8914 343.43584 42.5927 333.063896 39.6090 370.43783 43.7643 294.16633 35.3655 267.179326
motorcycle 248.7259 142.88453 235.0393 132.120641 248.8345 130.67405 247.5509 118.25936 2.8795 5.386208
other 2116.9644 74.02389 2042.5601 68.663721 2017.7793 66.48290 1917.1999 57.76667 945.9146 31.884654
truck 3.9064 18.23497 3.9064 18.234965 3.9064 18.23497 3.9064 18.23497 3.9064 18.234965
bus 2.4298 26.97475 2.4262 26.120050 2.4486 24.94653 2.2255 29.81662 1.9702 20.546078
active_travel 93.4155 645.69758 73.2569 566.849180 96.7066 626.66544 88.0582 635.46811 77.3502 510.090023

[1] “lb”

mexico_city lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 64.6748 429.894012 65.2124 410.9466979 67.4905 421.130552 61.2824 427.721747 54.1842 343.899763
cycle 75.6373 20.050588 0.4444 0.6382394 76.1218 18.285791 73.8452 17.496864 63.1054 15.630507
car 30.3798 243.254138 30.3418 237.2647026 28.1960 263.699115 31.0697 208.838178 25.8988 195.660689
motorcycle 129.1764 74.207402 125.8781 70.7587710 129.6784 68.099864 128.9447 61.599133 1.3261 2.480437
other 963.4377 33.688525 939.1519 31.5709992 911.3422 30.027404 857.3295 25.831982 333.9014 11.255066
truck 1.0490 4.896599 1.0490 4.8965987 1.0490 4.896599 1.0490 4.896599 1.0490 4.896599
bus 0.4975 5.523555 0.5005 5.3876574 0.5059 5.154420 0.4780 6.404054 0.4987 5.200303
active_travel 65.0952 449.944601 53.1913 411.5849373 67.8105 439.416343 61.6949 445.218611 54.5193 359.530270

[1] NA

montevideo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 118.9635 17.9396615 120.8471 17.1068704 130.2006 17.9110196 107.8284 17.4557778 122.2803 17.5958413
car 96.8602 13.8778514 97.2724 13.5002057 89.9467 15.4004798 103.6091 12.0686398 102.3295 13.1984663
cycle 589.5159 4.4002943 286.8443 9.2212700 637.2487 4.3379114 592.6623 4.0019520 615.2934 4.2333725
motorcycle 1302.8489 45.3568801 1309.5538 43.8051178 1377.7979 44.3354204 1402.1288 38.3013013 1037.8991 59.5658082
truck 12.0134 1.0154525 12.0134 1.0154525 12.0134 1.0154525 12.0134 1.0154525 12.0134 1.0154525
bus 1.4192 0.3384842 1.4300 0.3283884 1.4568 0.3048697 1.3641 0.3966338 1.4438 0.3160198
active_travel 141.1563 22.3399558 151.5679 26.3281404 154.1082 22.2489310 127.2419 21.4577297 144.7773 21.8292138

[1] “ub”

montevideo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 179.6560 27.092074 182.3439 25.812230 195.0370 26.830240 163.2045 26.420326 187.3513 26.959407
car 162.5503 23.289734 162.7818 22.592092 149.7835 25.645592 174.2836 20.300986 172.5318 22.253166
cycle 1353.0100 10.099205 698.5094 22.455188 1447.7895 9.855465 1363.6901 9.208317 1416.7049 9.747284
motorcycle 1845.7376 64.256796 1849.3605 61.861874 1936.2161 62.304463 1996.2039 54.529373 1467.1670 84.201813
truck 38.1195 3.222105 38.1195 3.222105 38.1195 3.222105 38.1195 3.222105 38.1195 3.222105
bus 10.4867 2.501054 10.5664 2.426457 10.7645 2.252677 10.0792 2.930721 10.6683 2.335065
active_travel 234.9952 37.191279 277.8697 48.267419 254.1052 36.685705 211.2738 35.628644 243.4488 36.706691

[1] “lb”

montevideo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 80.3099 12.1107110 81.6172 11.5535702 88.4831 12.1721642 72.6346 11.7584454 81.5191 11.7304044
car 59.3021 8.4966370 59.6305 8.2759679 55.3572 9.4781409 63.3097 7.3744688 62.3085 8.0365529
cycle 268.2431 2.0022338 124.1182 3.9900661 292.5522 1.9914763 269.0759 1.8169352 278.6884 1.9174459
motorcycle 944.4646 32.8802243 950.3536 31.7897230 1003.5230 32.2918289 1012.6811 27.6629385 752.0263 43.1593521
truck 3.7861 0.3200218 3.7861 0.3200218 3.7861 0.3200218 3.7861 0.3200218 3.7861 0.3200218
bus 0.1921 0.0458093 0.1935 0.0444430 0.1972 0.0412600 0.1846 0.0536791 0.1954 0.0427690
active_travel 89.1734 14.1129448 89.4828 15.5436362 98.1051 14.1636405 80.5005 13.5753805 90.5163 13.6478502

[1] NA

osorno mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 19.4697 4.8107143 19.5893 4.5788490 20.3284 4.7434557 18.4005 4.7930000 18.8034 4.4600029
car 24.0420 7.5596939 24.2791 7.3451153 21.3739 7.9231178 25.1220 6.8519279 24.6164 7.0763502
cycle 12.0119 0.2290816 5.1721 0.3857289 13.0639 0.2208691 12.5986 0.2119903 11.6745 0.2122075
motorcycle 45.5044 1.1454082 47.6375 1.0889269 45.9227 1.0948511 46.0934 1.1058629 47.0053 4.2100462
truck 10.1978 1.6035714 10.1978 1.6035714 10.1978 1.6035714 10.1978 1.6035714 10.1978 1.6035714
active_travel 18.9354 5.0397959 16.1020 4.9645779 19.8376 4.9643248 18.0484 5.0049903 18.2959 4.6722103

[1] “ub”

osorno ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 36.6353 9.052086 36.8968 8.624335 37.9889 8.864370 35.0711 9.135404 35.4548 8.409572
car 41.2344 12.965590 41.6417 12.597801 36.4791 13.522507 43.4727 11.857022 42.2127 12.134657
cycle 93.7313 1.787573 40.3725 3.010940 101.7234 1.719818 98.7056 1.660870 91.1637 1.657082
motorcycle 175.4236 4.415649 183.6109 4.197090 176.8728 4.216860 177.7723 4.265074 184.1102 16.489875
truck 21.7172 3.414948 21.7172 3.414948 21.7172 3.414948 21.7172 3.414948 21.7172 3.414948
active_travel 40.7264 10.839660 37.7375 11.635275 42.2949 10.584187 38.9323 10.796274 39.4201 10.066655

[1] “lb”

osorno lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 10.6192 2.6238754 10.6773 2.4957326 11.1591 2.6038672 9.9146 2.5825814 10.2422 2.4293688
car 14.5454 4.5736086 14.6868 4.4431773 12.9765 4.8102942 15.1002 4.1185146 14.8902 4.2804165
cycle 1.5444 0.0294531 0.6648 0.0495790 1.6831 0.0284566 1.6134 0.0271482 1.5001 0.0272673
motorcycle 11.8395 0.2980171 12.3969 0.2833752 11.9595 0.2851278 11.9870 0.2875899 12.0383 1.0782106
truck 4.7886 0.7529958 4.7886 0.7529958 4.7886 0.7529958 4.7886 0.7529958 4.7886 0.7529958
active_travel 9.9690 2.6533285 8.2554 2.5453116 10.5189 2.6323238 9.4109 2.6097297 9.6200 2.4566360

[1] NA

puerto_montt mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 42.4175 13.5158163 43.1603 12.8945638 44.6678 13.2371879 39.5283 13.5213281 41.7098 12.7580730
car 11.3746 6.8724490 11.4752 6.7053815 10.3942 7.1519677 11.8081 6.3121665 11.5421 6.5388367
motorcycle 169.5124 0.9163265 168.9754 0.8486576 169.4433 0.8268129 167.0334 0.8384348 4.0835 0.3858772
cycle 79.6979 0.4581633 0.0789 0.0067173 80.6951 0.3887888 77.1478 0.4350555 76.5927 0.4403124
truck 5.5406 1.6035714 5.5406 1.6035714 5.5406 1.6035714 5.5406 1.6035714 5.5406 1.6035714
bus 0.8942 0.4581633 0.9000 0.4499202 0.9324 0.4242277 0.8356 0.5039983 0.9116 0.4318047
active_travel 43.0782 13.9739796 33.6109 12.9012811 45.2442 13.6259767 40.1384 13.9563835 42.3533 13.1983855

[1] “ub”

puerto_montt ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 71.2235 22.694478 72.5470 21.674133 74.4393 22.059861 67.1054 22.954554 70.2267 21.480761
car 19.9491 12.053133 20.1380 11.767368 18.1844 12.512164 20.7467 11.090431 20.2427 11.467907
motorcycle 755.6557 4.084818 753.7444 3.785586 755.1976 3.685050 746.9322 3.749273 28.6770 2.709908
cycle 346.0946 1.989611 0.3430 0.029184 349.7762 1.685222 335.8857 1.894143 332.7594 1.912951
truck 11.7993 3.414948 11.7993 3.414948 11.7993 3.414948 11.7993 3.414948 11.7993 3.414948
bus 6.7784 3.473138 6.8225 3.410708 7.0714 3.217284 6.3264 3.815923 6.9097 3.273049
active_travel 76.0947 24.684090 56.5422 21.703317 78.8441 23.745082 71.4646 24.848698 75.0698 23.393712

[1] “lb”

puerto_montt lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 27.1918 8.6643429 27.6357 8.2564336 28.8025 8.5355262 25.1177 8.5919497 26.6976 8.1661778
car 6.6836 4.0382032 6.7391 3.9378765 6.1196 4.2107053 6.9281 3.7035356 6.7811 3.8416602
motorcycle 42.3371 0.2288599 42.1860 0.2118740 42.3337 0.2065708 41.6333 0.2089808 0.6111 0.0577439
cycle 18.4106 0.1058380 0.0182 0.0015510 18.6746 0.0899744 17.7757 0.1002414 17.6858 0.1016710
truck 2.6017 0.7529958 2.6017 0.7529958 2.6017 0.7529958 2.6017 0.7529958 2.6017 0.7529958
bus 0.1181 0.0604959 0.1188 0.0594065 0.1231 0.0559909 0.1105 0.0666275 0.1204 0.0570199
active_travel 27.0362 8.7701809 21.5140 8.2579847 28.6404 8.6255005 24.9987 8.6921911 26.5313 8.2678488

[1] NA

san_antonio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 16.8856 2.6004012 17.0155 2.5017124 15.8640 2.3312609 17.3250 2.8847700 15.6970 2.3519855
car 9.0503 3.2535405 9.1714 3.1555999 7.1534 3.0594163 9.7100 2.9171650 8.9098 2.7849657
cycle 63.9430 0.2667670 0.1162 0.0068777 60.1517 0.2267990 68.6125 0.2574478 58.1830 0.2416746
other 40.5511 0.2707129 39.9765 0.2654180 25.8526 0.0782262 36.9414 0.2135804 40.0823 0.2244250
motorcycle 23.9411 0.2290816 23.6572 0.2116589 23.6762 0.1708588 25.6529 0.2122068 2.5641 0.1768073
truck 5.5037 1.3744898 5.5037 1.3744898 5.5037 1.3744898 5.5037 1.3744898 5.5037 1.3744898
active_travel 18.1268 2.8671682 12.1638 2.5085902 16.9719 2.5580599 18.4552 3.1422178 16.8431 2.5936601

[1] “ub”

san_antonio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 113.7404 17.516119 114.4599 16.8285474 105.5048 15.504216 115.0931 19.164070 103.5753 15.519331
car 54.1578 19.469493 54.6921 18.8178701 41.8509 17.898980 57.8353 17.375429 50.6946 15.845872
cycle 927.8707 3.871030 1.6753 0.0991886 845.3925 3.187510 979.9505 3.676970 825.9037 3.430556
other 504.9316 3.370848 496.8875 3.2990099 389.3574 1.178137 444.1592 2.567951 450.4224 2.521960
motorcycle 285.6264 2.733032 283.1239 2.5330885 277.3307 2.001350 304.7866 2.521268 32.9769 2.273906
truck 27.6373 6.902097 27.6373 6.9020968 27.6373 6.902097 27.6373 6.902097 27.6373 6.902097
active_travel 135.2139 21.387150 82.0805 16.9277361 124.0137 18.691726 134.1527 22.841040 123.0593 18.949887

[1] “lb”

san_antonio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 2.9176 0.4493065 2.9420 0.4325527 2.7767 0.4080379 3.0240 0.5035220 2.7470 0.4116040
car 1.6961 0.6097318 1.7228 0.5927493 1.3626 0.5827613 1.8242 0.5480566 1.7130 0.5354282
cycle 4.7333 0.0197469 0.0085 0.0005045 4.5811 0.0172729 5.1618 0.0193680 4.3669 0.0181389
other 3.6785 0.0245571 3.6309 0.0241066 1.8964 0.0057381 3.4895 0.0201749 3.8862 0.0217590
motorcycle 2.0703 0.0198097 2.0391 0.0182433 2.0861 0.0150544 2.2258 0.0184122 0.2080 0.0143437
truck 1.1542 0.2882419 1.1542 0.2882419 1.1542 0.2882419 1.1542 0.2882419 1.1542 0.2882419
active_travel 2.9655 0.4690535 2.0998 0.4330572 2.8218 0.4253109 3.0711 0.5228899 2.7907 0.4297429

[1] NA

santiago mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 55.8247 121.276050 145.9085 300.94288 146.8861 297.25801 125.3429 291.13874 56.6895 117.406177
car 26.0109 71.218394 147.4691 389.66243 127.1330 419.74282 139.6571 321.83471 26.4868 68.378471
cycle 116.1543 28.214316 160.1075 102.28013 299.9944 64.11872 276.8862 59.13830 119.2753 27.148283
motorcycle 166.1260 43.004078 79395.7490 20233.16910 80859.3682 19801.39344 79487.7309 17471.37909 114.3400 79.337158
other 163.7739 2.502883 2296.7449 33.54924 2216.2676 31.20073 2003.1061 27.98049 163.4769 2.334254
truck 4.2952 7.508648 54.8131 95.82051 52.9071 92.48849 47.8585 83.66292 4.2882 7.496352
bus 1.1412 5.233301 5.9734 26.87000 5.9492 25.17888 4.9177 26.35376 1.1608 5.023457
active_travel 61.8918 149.490366 149.2663 403.22302 161.5117 361.37673 138.1044 350.27704 62.8866 144.554460

[1] “ub”

santiago ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 67.3568 146.32886 218.8560 451.4006 217.8882 440.94717 185.2988 430.40049 69.1279 143.166820
car 31.6045 86.53380 248.9494 657.8075 213.6646 705.43607 234.1879 539.67760 32.2414 83.234533
cycle 157.1283 38.16708 253.7126 162.0771 470.6691 100.59755 433.2767 92.54070 162.5357 36.994806
motorcycle 218.0886 56.45535 104413.8350 26608.7644 105716.3833 25888.54878 103972.9874 22853.23101 150.0609 104.122851
other 332.9032 5.08761 5342.5754 78.0406 5151.3635 72.52115 4651.8524 64.97963 332.7332 4.751030
truck 7.6360 13.34874 118.1595 206.5581 113.9370 199.17662 102.9195 179.91668 7.6335 13.344285
bus 2.2183 10.17254 16.1043 72.4421 16.0142 67.77757 13.1104 70.25763 2.2612 9.785481
active_travel 76.3848 184.49594 227.0989 613.4777 242.0350 541.54472 206.1810 522.94119 78.3771 180.161626

[1] “lb”

santiago lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 47.3366 102.836168 101.1122 208.54851 102.7853 208.009794 88.0590 204.53799 47.6759 98.738848
car 21.6472 59.270370 89.5573 236.64027 77.6443 256.350752 85.5303 197.10142 22.0118 56.825764
cycle 87.4987 21.253775 103.4661 66.09640 195.9769 41.886731 181.4272 38.74985 89.2993 20.325445
motorcycle 128.0446 33.146158 61679.0934 15718.26630 62872.8162 15396.723953 61803.6004 13584.41257 88.0196 61.074222
other 81.3210 1.242792 989.5933 14.45529 955.6094 13.453117 864.6181 12.07746 81.0593 1.157430
truck 2.4476 4.278771 25.5414 44.64969 24.6781 43.140492 22.3638 39.09477 2.4406 4.266405
bus 0.6064 2.780648 2.2884 10.29392 2.2833 9.663804 1.9131 10.25224 0.6157 2.664695
active_travel 51.3756 124.089943 101.6688 274.64491 111.6874 249.896525 95.9215 243.28784 51.7975 119.064293

[1] NA

sao_paulo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 165.7016 391.444962 165.9834 373.695051 178.9321 391.274217 152.7054 383.559107 189.2274 425.183927
other 66.1872 1.441407 65.1667 1.305961 67.0499 1.377230 64.2946 1.140405 71.2219 1.301749
car 60.8164 164.732230 61.1825 159.550272 56.6946 186.021541 64.3922 142.583797 63.9938 160.606844
motorcycle 1269.3434 424.391408 1269.3634 413.596100 1332.4563 405.085428 1364.9704 365.048902 897.1859 773.684185
cycle 591.3154 37.682498 8.1563 4.496309 606.4058 33.711642 571.1504 32.659587 639.0276 38.904501
truck 8.4281 14.619985 8.3698 14.518890 8.4774 14.705440 8.3201 14.432507 8.7156 15.118713
bus 2.7344 9.678019 2.7479 9.385062 2.8859 9.027556 2.4788 10.919599 2.9373 9.598395
active_travel 176.8813 429.127460 134.9399 378.191360 189.5303 424.985859 162.0196 416.218694 201.0932 464.088427

[1] “ub”

sao_paulo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 178.8112 422.414429 179.0930 403.210122 192.7780 421.551266 164.8737 414.12287 205.0897 460.825726
other 141.7700 3.087429 139.3878 2.793376 143.5681 2.948943 137.6713 2.44190 152.5346 2.787933
car 67.3730 182.491880 67.6998 176.546008 62.7162 205.779134 71.3807 158.05836 71.0740 178.376306
motorcycle 1376.8502 460.335139 1373.5385 447.539419 1444.6555 439.195572 1480.4022 395.92009 971.3856 837.669950
cycle 730.3953 46.545582 10.7865 5.946203 748.2304 41.596030 706.1852 40.38116 788.9281 48.030562
truck 11.7795 20.433471 11.6776 20.256734 11.8525 20.560118 11.6100 20.13939 12.2223 21.201593
bus 4.1485 14.682813 4.1638 14.220975 4.3807 13.703219 3.7537 16.53561 4.4629 14.583903
active_travel 193.2998 468.960011 145.9883 409.156326 206.5491 463.147296 176.9228 454.50403 220.4914 508.856289

[1] “lb”

sao_paulo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 153.8930 363.5491439 154.1556 347.0659521 166.4264 363.9277367 141.7568 356.0588565 174.9474 393.0975056
other 30.9281 0.6735439 30.4797 0.6108226 31.3392 0.6437184 30.0503 0.5330082 33.2800 0.6082712
car 55.0355 149.0736033 55.3948 144.4574510 51.3692 168.5484421 58.2275 128.9331919 57.7638 144.9714434
motorcycle 1173.2938 392.2782510 1174.5721 382.7102884 1231.8876 374.5111514 1261.4654 337.3674294 830.4257 716.1138260
cycle 479.6796 30.5683318 6.1679 3.4001467 492.4423 27.3761193 462.8741 26.4681189 518.5589 31.5702720
truck 6.0636 10.5182937 6.0286 10.4576871 6.0964 10.5752145 5.9941 10.3977878 6.2498 10.8413817
bus 1.8053 6.3893871 1.8154 6.2002781 1.9041 5.9562715 1.6393 7.2214042 1.9360 6.3265898
active_travel 162.4506 394.1174756 125.0474 350.4660988 174.5092 391.3038560 148.9046 382.5269754 184.0119 424.6677775

[1] NA

temuco_padrelascasas mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 19.3329 8.2469388 19.3048 7.7858205 20.5276 8.3126956 18.2222 8.1846317 18.7843 7.7407426
car 15.7637 8.0178571 15.8990 7.8052032 14.3210 8.6176136 16.6949 6.8532123 16.0776 7.5315693
cycle 41.0747 2.0617347 16.2709 2.2846829 45.1259 2.0023736 42.4114 1.8481766 40.7066 1.9346460
motorcycle 45.9009 1.8326531 46.9828 1.7737945 47.4925 1.7411468 2484.8962 89.0809907 40.6663 5.9312204
truck 1.8414 0.4581633 1.8414 0.4581633 1.8414 0.4581633 1.8414 0.4581633 1.8414 0.4581633
active_travel 21.6219 10.3086735 18.5213 10.0705034 22.9568 10.3150692 20.3615 10.0328083 21.0512 9.6753886

[1] “ub”

temuco_padrelascasas ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 60.8681 25.964829 60.9248 24.571586 63.9916 25.913584 58.0714 26.083215 59.3646 24.463254
car 51.0094 25.944888 51.4535 25.259807 46.4007 27.921577 54.3036 22.291506 52.0386 24.377562
cycle 133.2849 6.690208 54.0099 7.583818 145.8730 6.472830 138.6129 6.040384 131.8983 6.268684
motorcycle 190.0187 7.586752 194.4396 7.340891 196.7927 7.214720 11349.2118 406.857646 174.2512 25.414693
truck 10.8265 2.693811 10.8265 2.693811 10.8265 2.693811 10.8265 2.693811 10.8265 2.693811
active_travel 68.4922 32.655037 59.1390 32.155403 72.0778 32.386414 65.1944 32.123599 66.8650 30.731938

[1] “lb”

temuco_padrelascasas lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 6.8316 2.9141872 6.8032 2.7437956 7.3030 2.9573569 6.3898 2.8700214 6.6264 2.7306340
car 5.1487 2.6187708 5.1907 2.5482616 4.6728 2.8118295 5.4279 2.2281588 5.2491 2.4589499
cycle 13.4079 0.6730064 5.2103 0.7316099 14.7725 0.6554998 13.7672 0.5999394 13.3014 0.6321727
motorcycle 11.5417 0.4608189 11.8179 0.4461753 11.9306 0.4373921 561.7785 20.1391850 9.9735 1.4546477
truck 0.3209 0.0798328 0.3209 0.0798328 0.3209 0.0798328 0.3209 0.0798328 0.3209 0.0798328
active_travel 7.5239 3.5871935 6.3918 3.4754055 8.0406 3.6128567 7.0422 3.4699608 7.3166 3.3628067

[1] NA

valdivia mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 10.0523 2.1883910 10.3012 2.1079437 10.1635 2.0602885 9.9485 2.3541879 10.0515 2.1027072
car 8.8455 3.1996214 9.0223 3.1124688 7.8266 3.3079510 9.1896 2.8560471 9.0097 3.0096300
cycle 28.8656 0.9484467 13.1287 1.2843416 29.9531 0.8922317 29.7995 0.9069095 29.3172 0.8997218
motorcycle 24.4700 0.6729878 25.1947 0.6205257 24.3306 0.6470705 24.7502 0.6594737 22.2435 2.0496104
bus 1.6316 0.4338690 1.6264 0.4139459 1.6898 0.3776474 1.5206 0.5149620 1.6551 0.3974121
active_travel 12.5194 3.1368377 11.2158 3.3922853 12.6989 2.9525201 12.2106 3.2610973 12.5163 3.0024290

[1] “ub”

valdivia ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 51.8177 11.280752 52.9496 10.835067 52.4379 10.629871 51.0785 12.087043 51.6154 10.797555
car 52.9846 19.165719 53.9785 18.621179 46.6140 19.701629 55.0606 17.112394 53.9347 18.016617
cycle 220.8622 7.256935 111.6650 10.923856 228.1881 6.797187 226.8818 6.904852 223.1017 6.846812
motorcycle 224.7779 6.181965 230.0444 5.665804 224.0354 5.958201 224.2875 5.976181 218.1384 20.100231
bus 12.7346 3.386277 12.7481 3.244645 13.0781 2.922715 12.4096 4.202461 12.9338 3.105632
active_travel 73.9856 18.537687 71.9406 21.758923 74.9547 17.427058 71.1119 18.991895 73.5545 17.644367

[1] “lb”

valdivia lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 2.0980 0.4567312 2.1561 0.4412081 2.1222 0.4301915 2.0808 0.4924043 2.1051 0.4403761
car 1.6665 0.6028108 1.7018 0.5870817 1.4870 0.6285073 1.7281 0.5370735 1.6988 0.5674748
cycle 4.3310 0.1423055 1.8308 0.1791051 4.5084 0.1342936 4.4817 0.1363953 4.4225 0.1357226
motorcycle 3.2637 0.0897604 3.3926 0.0835567 3.2355 0.0860469 3.3448 0.0891222 2.8040 0.2583746
bus 0.2575 0.0684645 0.2557 0.0650890 0.2685 0.0599941 0.2316 0.0784354 0.2610 0.0626767
active_travel 2.3908 0.5990366 2.0509 0.6203132 2.4279 0.5644851 2.3544 0.6287996 2.4016 0.5760988

[1] NA

accra mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 126.0911 112.437521 127.4960 106.6857177 139.0360 114.922180 114.4885 101.164844 117.7836 99.4665639
cycle 449.4991 8.195155 0.1390 0.0168007 475.4743 7.818343 406.0540 5.958030 407.4499 6.8708278
car 103.3258 22.290821 105.1208 21.5902886 82.2384 24.805406 107.2853 17.171283 89.8963 17.8383298
motorcycle 555.4034 23.110336 549.6008 22.8488297 566.7506 20.686397 538.2392 16.089853 6.9738 0.9602863
truck 60.4272 4.917093 60.2967 4.9064753 60.2743 4.904651 59.1270 4.811293 56.9413 4.6334372
bus 14.8685 10.325895 14.9302 10.1052429 15.2248 9.692375 13.5200 10.975316 13.4950 8.5916894
active_travel 132.5709 120.632676 111.4240 106.7025184 145.5984 122.740523 119.2510 107.122874 123.4545 106.3373917

[1] “ub”

accra ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 145.1661 129.447047 146.5180 122.6029298 159.3120 131.681627 132.1678 116.786710 134.8225 113.855702
cycle 610.8033 11.136013 0.1889 0.0228319 644.8039 10.602672 552.2570 8.103267 551.6580 9.302610
car 135.6632 29.267072 137.0542 28.1489553 107.6170 32.460287 140.6451 22.510600 116.7761 23.172150
motorcycle 729.8238 30.367967 712.7591 29.6318919 742.9307 27.116971 706.5032 21.119854 9.9758 1.373656
truck 99.9643 8.134311 99.3773 8.0865500 99.5128 8.097574 96.3380 7.839232 90.3258 7.350011
bus 21.6014 15.001774 21.5833 14.6082992 22.1117 14.076690 19.5174 15.843954 19.3844 12.341154
active_travel 154.4956 140.583060 128.0518 122.6257617 168.7817 142.284299 139.0296 124.889977 142.9831 123.158311

[1] “lb”

accra lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 111.0562 99.030675 112.2969 93.9674605 122.8829 101.570612 100.6121 88.903372 104.3216 88.0980864
cycle 331.5741 6.045176 0.1025 0.0123915 351.3562 5.777438 299.2882 4.391455 301.5786 5.0855205
car 79.3668 17.122066 80.8344 16.6022113 63.3345 19.103470 82.4734 13.200076 69.8079 13.8521451
motorcycle 429.2570 17.861386 425.7136 17.6984034 438.4899 16.004881 415.6992 12.426705 4.8847 0.6726197
truck 38.2930 3.115984 38.2545 3.1128513 38.2394 3.111620 37.8227 3.077717 37.0306 3.0132642
bus 10.3153 7.163785 10.3678 7.0172584 10.5619 6.723919 9.4308 7.655808 9.4656 6.0263368
active_travel 115.4745 105.075850 98.1384 93.9798520 127.3394 107.348050 103.8573 93.294827 108.1833 93.1836068

[1] NA

bangalore mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 302.0781 393.57928 305.8525 378.13896 353.5715 445.64081 289.6282 399.58994 298.3556 364.94414
car 150.0298 33.24149 150.3902 32.64617 106.1491 48.81772 157.7444 30.88356 160.0510 29.49498
motorcycle 171.1464 398.89792 172.6716 390.92715 185.8265 405.62411 180.3584 372.19442 160.5319 412.96871
cycle 134.2029 25.26353 74.3223 36.33090 162.8286 28.02239 140.5301 24.07459 139.0009 22.81822
other 1904.6280 15.95592 1896.1052 15.22704 2001.0902 15.71712 1896.7461 13.98603 1872.3975 13.76548
truck 131.6916 13.29660 131.6916 13.29660 131.6916 13.29660 131.6916 13.29660 131.6916 13.29660
bus 13.2405 15.95592 13.3417 15.57191 13.7398 15.44991 12.4004 18.73171 13.8242 14.03762
active_travel 280.8849 418.84281 240.2483 414.46986 330.6560 473.66321 273.1596 423.66453 279.4998 387.76236

[1] “ub”

bangalore ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 374.4835 487.91670 382.8261 473.30486 435.7649 549.23716 359.2775 495.68266 369.9032 452.46009
car 268.2166 59.42767 269.4297 58.48685 190.4367 87.58135 281.7324 55.15823 285.7605 52.66133
motorcycle 210.2746 490.09584 212.9330 482.07856 228.3760 498.50150 221.5903 457.28219 197.0356 506.87468
cycle 219.4690 41.31477 121.5311 59.40792 265.7328 45.73195 229.9600 39.39508 227.3697 37.32472
other 4368.6824 36.59840 4360.7778 35.02008 4553.1868 35.76200 4353.1459 32.09877 4305.4416 31.65273
truck 247.8735 25.02721 247.8735 25.02721 247.8735 25.02721 247.8735 25.02721 247.8735 25.02721
bus 29.9924 36.14330 30.2596 35.31785 31.4196 35.33023 27.8447 42.06164 31.4285 31.91372
active_travel 354.9139 529.23148 308.7880 532.71278 415.3375 594.96911 344.9938 535.07774 353.0378 489.78482

[1] “lb”

bangalore lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 247.2711 322.170906 249.9531 309.028082 290.4351 366.063742 236.8912 326.830570 244.1058 298.586570
car 84.4763 18.717063 84.6489 18.375275 59.5375 27.381169 88.9007 17.405188 90.2224 16.626619
motorcycle 140.7090 327.956349 141.9070 321.276259 152.6181 333.136305 148.2720 305.979776 132.0737 339.759858
cycle 82.3654 15.505191 45.6160 22.298420 100.0874 17.224787 86.2105 14.768950 85.2905 14.001183
other 903.9851 7.573085 899.0678 7.220139 954.2597 7.495022 899.8929 6.635536 887.3246 6.523429
truck 69.9659 7.064291 69.9659 7.064291 69.9659 7.064291 69.9659 7.064291 69.9659 7.064291
bus 6.1306 7.387837 6.1743 7.206413 6.3141 7.099988 5.7803 8.731558 6.3824 6.480927
active_travel 226.4528 337.676097 192.0541 331.326502 267.5670 383.288529 220.2478 341.599520 225.3138 312.587753

[1] NA

cape_town mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 773.5065 331.988873 776.7700 320.2001561 856.0253 334.767478 729.6118 313.506140 758.7084 310.741551
car 340.3576 188.431605 340.9579 183.6503329 325.0313 202.685546 360.3090 167.490722 335.3816 175.438054
cycle 2248.8923 7.715949 0.5893 0.0410416 2364.8970 6.603384 2122.5785 7.050144 2149.7982 6.960079
motorcycle 7786.2810 47.717055 7648.1195 46.1724620 7924.5638 40.234199 7548.0446 44.879541 18.6672 1.502118
other 842.8863 2.030513 827.6032 1.9030736 850.9157 1.615038 816.3732 1.966643 784.2386 1.889231
truck 28.5437 6.294590 27.9431 6.1621453 28.8592 6.364175 27.5018 6.064825 26.2390 5.786342
bus 54.4479 20.305130 53.9199 19.7718741 58.0891 19.466036 46.8219 21.899063 52.7800 18.162567
active_travel 785.2071 339.704822 664.5860 320.2411977 866.7222 341.370862 740.2969 320.556284 769.6185 317.701630

[1] “ub”

cape_town ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 831.6921 356.96212 834.9499 344.1831022 918.3965 359.159129 786.5865 337.987544 815.0308 333.809323
car 381.2450 211.06805 380.5852 204.9948154 362.5665 226.092090 404.3117 187.945526 373.1700 195.205112
cycle 3131.4883 10.74414 0.8206 0.0571483 3290.6216 9.188238 2957.7292 9.824097 2992.2327 9.687503
motorcycle 9486.2175 58.13486 9270.9876 55.9698791 9615.5149 48.819412 9213.6244 54.782829 33.5645 2.700878
other 1612.9307 3.88555 1579.2913 3.6315804 1625.0300 3.084307 1562.7217 3.764597 1495.8551 3.603515
truck 47.5742 10.49128 46.4992 10.2542173 47.8844 10.559702 46.0628 10.158000 43.9322 9.688148
bus 73.6432 27.46359 72.6353 26.6346280 78.0908 26.168721 63.7143 29.799805 71.0537 24.450871
active_travel 849.9307 367.70626 714.3904 344.2402506 935.2141 368.347367 803.2408 347.811641 832.1062 343.496826

[1] “lb”

cape_town lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 721.0791 309.487046 724.2077 298.5329432 799.5161 312.6683212 678.4348 291.515945 707.7874 289.8860244
car 305.7823 169.289772 306.8731 165.2911854 292.9824 182.7002522 323.1534 150.218834 302.9401 158.4678793
cycle 1615.8314 5.543918 0.4234 0.0294886 1700.3121 4.7476964 1524.0148 5.062015 1545.2010 5.0026654
motorcycle 6488.8026 39.765654 6391.2693 38.5847321 6625.2421 33.6373477 6280.0218 37.340068 11.2354 0.9040928
other 441.1026 1.062616 433.9346 0.9978327 446.0931 0.8466846 427.0852 1.028848 411.6659 0.9917030
truck 18.9047 4.168957 18.5501 4.0907634 19.1801 4.2296789 18.1847 4.010183 17.4397 3.8458848
bus 40.7924 15.212616 40.4920 14.8480036 43.7550 14.6625962 34.8910 16.318872 39.7302 13.6718935
active_travel 728.1750 315.030963 619.5968 298.5624318 805.9022 317.4160176 684.9210 296.577960 714.3551 294.8886898

[1] NA

delhi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 3094.2514 869.503820 3134.6002 840.568737 3268.9305 876.160993 2893.6611 848.466129 3114.2931 827.416286
cycle 2118.5811 101.678865 1323.1310 129.398681 2342.8624 100.385445 2184.8205 93.454277 2201.9773 96.197451
motorcycle 3849.4794 758.479472 3946.8441 736.102402 4121.0791 744.305216 4040.7388 681.153810 3340.7108 874.747200
car 771.7651 123.734206 783.9330 121.750667 681.8026 137.921421 801.9706 113.765349 813.7277 113.591714
truck 604.7529 49.717974 601.5084 49.451238 613.0077 50.396624 598.0120 49.163793 601.2557 49.430461
bus 41.1931 7.476387 41.7782 7.279129 43.0577 7.204244 35.9212 8.787028 42.7293 6.746453
active_travel 2951.9226 971.182685 2650.5062 969.967417 3141.2919 976.546438 2803.4196 941.920406 2985.4630 923.613737

[1] “ub”

delhi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 3341.8886 939.09143 3385.0610 907.73187 3525.8090 945.01131 3127.4089 917.00461 3368.3381 894.91187
cycle 2449.4375 117.55794 1529.6657 149.59723 2707.0733 115.99092 2526.7673 108.08083 2547.8860 111.30911
motorcycle 4169.4446 821.52359 4274.7093 797.25060 4460.5078 805.60920 4378.5743 738.10328 3620.9121 948.11639
car 915.8443 146.83388 930.1955 144.46633 808.2379 163.49794 952.3487 135.09757 966.7359 134.95077
truck 790.8453 65.01701 786.4231 64.65346 801.9809 65.93249 781.7227 64.26703 786.1947 64.63468
bus 82.1096 14.90258 83.2756 14.50933 85.8257 14.36002 71.5955 17.51365 85.1806 13.44900
active_travel 3211.6997 1056.64936 2889.2284 1057.32910 3412.9638 1061.00222 3050.9421 1025.08544 3252.4803 1006.22098

[1] “lb”

delhi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 2871.2916 806.850752 2909.0639 780.089333 3037.1116 814.02730 2683.4488 786.828636 2885.7289 766.690547
cycle 1832.5639 87.951795 1144.5746 111.936344 2027.8111 86.88633 1889.3002 80.813588 1903.1961 83.144643
motorcycle 3554.9936 700.455684 3645.0716 679.820607 3808.4554 687.84246 3729.9351 628.761134 3083.0162 807.271260
car 651.0307 104.377318 661.3556 102.713489 575.7309 116.46424 676.0522 95.902908 685.6705 95.715660
truck 462.9325 38.058632 460.5520 37.862927 469.0515 38.56168 457.9515 37.649136 460.3041 37.842543
bus 20.6660 3.750794 20.9596 3.651848 21.6016 3.61429 18.0226 4.408679 21.4345 3.384249
active_travel 2719.7642 894.802547 2437.5248 892.025677 2898.0011 900.91363 2582.3469 867.642225 2746.9833 849.835190

[1] NA

vizag mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 260.5948 116.631639 260.2536 110.280192 373.3588 159.618662 228.3610 105.637544 288.3028 121.605970
cycle 364.6108 15.924705 170.5742 22.263098 527.7569 21.566997 359.3203 12.959119 420.6437 16.276239
motorcycle 602.4036 117.753097 614.5805 114.330125 673.2294 119.883676 629.7947 95.690099 508.1979 152.265080
other 136.9948 2.018625 142.0589 1.984356 152.2586 1.999011 123.7252 1.357952 119.6115 1.345546
car 391.2613 8.074498 391.9151 7.730369 207.4464 21.850285 420.3298 6.480477 402.4433 7.108094
truck 596.9618 7.177332 595.0224 7.154014 628.2502 7.553515 589.1379 7.083264 600.4317 7.219050
bus 6.6981 3.364374 6.7617 3.246203 6.9221 3.109172 6.4228 3.870737 6.9201 3.010756
active_travel 269.8429 132.556343 239.1357 132.543289 386.8296 181.185659 237.8328 118.596663 299.4229 137.882209

[1] “ub”

vizag ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 312.0340 139.653749 311.6644 132.065075 445.1016 190.290215 274.4156 126.941944 344.0280 145.110839
cycle 488.8360 21.350351 228.6974 29.849252 707.2131 28.900547 482.3744 17.397146 563.2014 21.792319
motorcycle 698.9648 136.628117 712.8838 132.617456 785.4595 139.868781 730.2517 110.953379 589.3410 176.577003
other 285.3167 4.204155 295.8307 4.132326 317.5168 4.168694 257.5823 2.827108 249.1635 2.802915
car 655.2856 13.523194 656.5411 12.950011 344.3039 36.265463 705.0682 10.870460 675.4968 11.930861
truck 1011.6805 12.163536 1005.8754 12.093741 1105.2029 13.287965 988.3269 11.882754 1022.0236 12.287892
bus 15.1380 7.603671 15.3002 7.345408 16.1247 7.242712 14.2804 8.606184 15.8169 6.881518
active_travel 327.7536 161.004100 292.1271 161.914326 467.9701 219.190763 289.4564 144.339090 362.4444 166.903158

[1] “lb”

vizag lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 220.0288 98.4759340 219.7261 93.106998 315.5994 134.925330 192.3468 88.9776935 244.0365 102.9344588
cycle 271.9772 11.8788482 127.2337 16.606354 393.8603 16.095259 267.6815 9.6541058 314.1966 12.1574125
motorcycle 519.7177 101.5903005 530.3721 98.664874 577.7888 102.888329 543.7281 82.6132516 438.6362 131.4231682
other 65.7844 0.9693366 68.2237 0.952986 73.0199 0.958682 59.4349 0.6523307 57.4255 0.6459966
car 234.1395 4.8319607 234.4732 4.624890 125.2375 13.191245 251.1459 3.8720663 240.3171 4.2445647
truck 371.0400 4.4610509 370.3920 4.453261 381.5077 4.586905 368.4189 4.4295369 372.2040 4.4750460
bus 3.5436 1.7799201 3.5761 1.716842 3.6319 1.631331 3.4128 2.0567522 3.6499 1.5879825
active_travel 224.6475 110.3547822 197.9457 109.713352 322.4275 151.020589 197.7954 98.6317993 249.9318 115.0918714

[1] NA

kisumu mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 55.7689 14.9479620 56.5369 14.2978369 62.7808 15.8986564 54.6064 14.4233080 56.0791 13.7960276
cycle 54.9226 1.5734697 32.8283 2.1508656 62.7056 1.6657560 55.9528 1.4804463 55.4842 1.4581241
car 52.3368 1.9668371 53.2031 1.8966662 41.2577 2.6554738 60.7907 1.6526078 56.2232 1.7513025
motorcycle 304.9732 29.8959240 311.9674 28.5296553 346.4048 29.8456318 334.6854 25.9993515 259.1040 32.9205581
other 872.1425 2.7535720 861.9117 2.7212707 925.0079 1.7050208 852.0974 1.6017301 847.3881 2.0722876
truck 27.8103 0.3933674 27.8103 0.3933674 27.8103 0.3933674 27.8103 0.3933674 27.8103 0.3933674
bus 74.1398 7.4739810 75.1949 7.2057107 85.6285 7.4038537 62.3305 8.2793210 81.9213 6.4449217
active_travel 55.6872 16.5214317 51.6585 16.4487025 62.7737 17.5644124 54.7290 15.9037543 56.0217 15.2541517

[1] “ub”

kisumu ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 90.5054 24.258521 91.5041 23.140836 100.9407 25.562284 88.3816 23.344440 91.6474 22.546170
cycle 160.2754 4.591706 95.6696 6.268152 182.0378 4.835778 163.0265 4.313494 162.5555 4.271958
car 199.1201 7.483014 201.9530 7.199533 161.9018 10.420509 226.5135 6.157815 212.4501 6.617629
motorcycle 435.8893 42.729382 445.1684 40.710988 494.6774 42.620543 479.1730 37.223575 368.6765 46.842343
other 2016.8181 6.367599 1990.5108 6.284540 2130.8544 3.927697 1967.8847 3.699131 1963.9890 4.802935
truck 205.4899 2.906586 205.4899 2.906586 205.4899 2.906586 205.4899 2.906586 205.4899 2.906586
bus 153.6392 15.488269 155.4955 14.900679 174.1391 15.056916 131.0671 17.409544 169.1570 13.307933
active_travel 97.2426 28.850228 92.3613 29.408987 108.6400 30.398063 95.1782 27.657934 98.4910 26.818128

[1] “lb”

kisumu lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 35.6748 9.5620642 36.2366 9.1640135 40.3388 10.2154232 34.9675 9.2360415 35.7487 8.7945388
cycle 19.0970 0.5471060 11.4265 0.7486465 21.8765 0.5811439 19.4740 0.5152607 19.2360 0.5055226
car 16.1144 0.6055874 16.4099 0.5850055 12.4770 0.8030561 18.9501 0.5151626 17.3689 0.5410258
motorcycle 220.3209 21.5976300 225.6141 20.6325762 249.7682 21.5195882 241.4719 18.7582469 187.9512 23.8802176
other 385.4633 1.2170040 381.2980 1.2038531 409.5944 0.7549848 376.9056 0.7084884 374.0072 0.9146346
truck 3.7638 0.0532370 3.7638 0.0532370 3.7638 0.0532370 3.7638 0.0532370 3.7638 0.0532370
bus 41.5019 4.1837804 42.1485 4.0389640 48.1605 4.1641873 34.8356 4.6271865 45.8254 3.6051784
active_travel 34.0740 10.1091702 31.1315 9.9126600 38.5860 10.7965671 33.5568 9.7513022 34.1550 9.3000614

[1] NA

nairobi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 186.6929 449.422279 190.1086 432.1947313 200.3798 454.729831 181.3923 427.153339 189.1079 429.002456
car 74.6452 68.839299 74.8088 67.9001284 68.6047 75.681252 80.5184 61.756133 76.2916 66.248032
cycle 106.4898 9.834186 0.0174 0.0057761 110.6527 9.585743 102.2273 8.030495 104.4055 9.024736
motorcycle 616.5265 158.330387 621.7580 154.8740675 643.9766 153.251191 655.8169 144.511977 464.5321 213.276044
other 579.0037 8.850767 575.4691 8.6833115 583.2750 8.117700 572.5701 7.293684 575.4753 8.254906
truck 13.1925 4.917093 13.1925 4.9170928 13.1925 4.917093 13.1925 4.917093 13.1925 4.917093
bus 13.3790 33.436231 13.4754 32.7688239 13.8934 32.380315 12.7797 34.621195 13.6886 32.149892
active_travel 183.7298 459.256465 165.8829 432.2005074 197.0805 464.315574 178.8367 435.183834 185.9989 438.027192

[1] “ub”

nairobi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 220.4828 530.76402 223.8767 508.9634998 235.9810 535.52102 214.1892 504.38539 224.8324 510.04561
car 107.3397 98.99082 106.4172 96.5894588 98.6117 108.78352 115.3750 88.49055 109.5039 95.08805
cycle 203.9669 18.83606 0.0333 0.0110627 211.7479 18.34353 195.7790 15.37948 200.5139 17.33228
motorcycle 787.7091 202.29184 782.7285 194.9703164 820.4753 195.25371 834.6700 183.92300 594.3660 272.88539
other 1158.5032 17.70911 1140.6205 17.2109362 1165.4193 16.21967 1143.4879 14.56632 1149.9734 16.49579
truck 32.2681 12.02689 32.2681 12.0268859 32.2681 12.02689 32.2681 12.02689 32.2681 12.02689
bus 22.1104 55.25711 22.0561 53.6347639 22.8908 53.34989 21.1215 57.21984 22.5763 53.02391
active_travel 219.8726 549.60008 195.3496 508.9745626 235.0899 553.86455 213.5948 519.76487 223.9398 527.37789

[1] “lb”

nairobi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 159.4219 383.773251 162.4159 369.2379306 171.4657 389.114028 154.8331 364.610144 160.6537 364.452319
car 52.8774 48.764564 53.1165 48.2111854 48.5719 53.582057 57.1590 43.839905 54.0882 46.967633
cycle 55.6741 5.141432 0.0091 0.0030199 57.8953 5.015419 53.4491 4.198707 54.4533 4.706908
motorcycle 501.3356 128.748165 507.0370 126.2981499 524.0886 124.720680 534.0617 117.682710 377.6561 173.389522
other 292.3166 4.468410 291.2429 4.3945929 294.6619 4.100943 289.2941 3.685172 290.6832 4.169706
truck 5.3937 2.010313 5.3937 2.0103127 5.3937 2.010313 5.3937 2.010313 5.3937 2.010313
bus 8.3197 20.792189 8.4003 20.4274249 8.6570 20.176097 7.9399 21.509832 8.5216 20.014379
active_travel 155.5889 388.914684 141.7184 369.2409505 167.2897 394.129447 151.5602 368.808851 156.7556 369.159227

[1] NA

port_louis mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 1193.0772 19.0127587 1213.5197 17.5712193 1294.0931 17.5523017 1223.3518 16.664254 1016.4094 24.1306376
pedestrian 285.6597 12.4566350 279.5994 11.5524884 302.8482 12.2035712 260.9650 11.775082 319.2553 12.7540113
cycle 1905.0588 2.2946433 1016.0566 10.9793302 113751.2881 112.1018945 104483.1231 102.968118 122158.1906 109.2399619
truck 283.1557 1.6390309 278.9078 1.6144423 283.9434 1.6435906 275.5304 1.594892 288.8320 1.6718877
bus 37.0198 0.9834186 36.1761 0.9302421 41.4840 0.9097108 29.6428 1.030317 43.6015 0.9768358
active_travel 329.1884 14.7512783 432.2748 22.5318186 3011.1664 124.3054657 2488.6394 114.743199 2986.8638 121.9939733

[1] “ub”

port_louis ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 2034.9810 32.429253 2068.2560 29.947416 2206.8569 29.932483 2089.9228 28.468510 1729.5680 41.061777
pedestrian 509.7961 22.230449 499.8153 20.651370 539.4639 21.738235 468.5709 21.142530 567.2438 22.660964
cycle 5923.7154 7.135115 2892.4046 31.254818 492547.5655 485.405626 452629.9253 446.066791 529773.1099 473.749603
truck 1063.7099 6.157225 1045.0909 6.049450 1067.0414 6.176509 1030.7862 5.966648 1087.9891 6.297764
bus 128.7255 3.419555 125.9004 3.237433 144.3073 3.164543 103.3006 3.590495 151.2042 3.387532
active_travel 655.3197 29.365564 995.8246 51.906188 12285.0154 507.143861 10133.1977 467.209321 12153.9674 496.410568

[1] “lb”

port_louis lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 707.9508 11.2818339 720.7903 10.4367194 767.7799 10.4137061 725.1397 9.8777079 604.6133 14.3541601
pedestrian 161.1686 7.0280056 157.5266 6.5086855 171.1710 6.8975077 146.4011 6.6058083 180.8648 7.2254127
cycle 652.8482 0.7863556 371.0561 4.0095672 26809.6151 26.4208757 24659.4995 24.3019367 28699.5779 25.6645976
truck 76.8208 0.4446727 75.8515 0.4390619 77.0064 0.4457470 75.0556 0.4344549 78.1469 0.4523487
bus 10.6774 0.2836423 10.4261 0.2681002 11.9588 0.2622464 8.5339 0.2966182 12.6078 0.2824624
active_travel 174.3847 7.8143612 201.7936 10.5182528 807.1021 33.3183834 670.3511 30.9077450 805.2691 32.8900102

Change in deaths due to injury per 100 million hours across cities

Write all injury tables in a single excel sheet